database definition essay

What Is a Database?

A database is a systematic way of storing information so data can be accessed, analyzed, transformed, updated and moved with efficiency.

A database is simply a structured and systematic way of storing information to be accessed, analyzed, transformed, updated and moved (to other databases). 

To begin understanding databases, consider an Excel notebook or Google sheet. Spreadsheets like these are a basic form of a table. Databases are almost exclusively organized in tables and those tables have rows and columns. So, think of a simple database as a collection of spreadsheets (or tables) joined together in a systematic way.

Database Definition

A database is a way for organizing information, so users can quickly navigate data, spot trends and perform other actions. Although databases may come in different formats, most are stored on computers for greater convenience.

Databases are stored on servers either on-premises at an organization’s office or off-premises at an organization’s data center (or even within their cloud infrastructure). Databases come in many formats in order to do different things with various types of data. 

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Why Do We Use Databases?

Computerized databases were first introduced to the world in the 1960s and have since become the foundation for products, analysis, business processes and more. Many of the services you use online every day (banking, social media, shopping, email) are all built on top of databases.

Today, databases are used for many reasons.

Databases Hold Data Efficiently

We use databases because they are an extremely efficient way of holding vast amounts of data and information. Databases around the world store everything from your credit card transactions to every click you make within one of your social media accounts. Given there are nearly eight billion people on the planet,  that’s a lot of data . 

Databases Allow Smooth Transactions

Databases allow access to various services which, in turn, allow you to access your accounts and perform transactions all across the internet. For example, your bank’s login page will ping a database to figure out if you’ve entered the right password and username. Your favorite online shop pings your credit card’s database to pull down the funds needed for you to buy that item you’ve been eyeing. 

Databases Update Information Quickly

Databases allow for easy information updates on a regular basis. Adding a video to your TikTok account, directly depositing your salary into your bank account or buying a plane ticket for your next vacation are all updates made to a database and displayed back to you almost instantaneously. 

Databases Simplify Data Analysis

Databases make research and data analysis much easier because they are highly structured storage areas of data and information. This means businesses and organizations can easily analyze databases once they know how a database is structured. Common structures (e.g. table formats, cell structures like date or currency fields) and common database querying languages (e.g.,  SQL ) make database analysis easy and efficient. 

What Is a Database Management System?

A database management system (DBMS) is a software package we use to create and manage databases. In other words, a DBMS makes it possible for users to actually interact with the database. In other words, the DBMS is the user interface (UI) that allows us to access, add, modify and delete content from the database. There are several types of database management systems, including relations, non-relational and hierarchical.

Evolution of Databases

Storing information is nothing new, but the rise of computers in the 1960s marked a shift toward more digital forms of databases. While working for GE, Charles Bachman created the Integrated Data Store, ushering in a new age of computerized databases. IBM soon followed suit with its Information Management System, a hierarchical database. 

In the 1970s, IBM’s Edgar F. Codd released a paper touting the benefits of relational databases, leading to IBM and the University of California, Berkeley releasing their own models. Relational databases became popular in the following years, with more businesses developing models and using Structured Query Language (SQL). Even though object-oriented databases became an alternative in the 1980s, relational databases remained the gold standard. 

The invention of the World Wide Web led to greater demand for databases in the 1990s. MySQL and NoSQL databases entered the scene, competing with the commercial databases developed by businesses. Object-oriented databases also began to replace relational databases in popularity.        

During the 2000s and 2010s, organizations began to collect larger volumes of data, and many turned to the scalability offered by NoSQL databases. Distributed databases provided another way to organize this proliferating data , storing it away in multiple locations.  

Types of Databases

There are many types of databases used today. Below are some of the more prominent ones.

1. Hierarchical Databases 

Hierarchical databases were the earliest form of databases. You can think of these databases like a simplified family tree. There’s a singular parent object (like a table) that has child objects (or tables) under it. A parent can have one or many child objects but a child object only has one parent. The benefit of these databases are that they’re incredibly fast and efficient plus there’s a clear, threaded relationship from one object to another. The downside to hierarchical databases is that they’re very rigid and highly structured. 

2. Relational Databases  

Relational databases are perhaps the most popular type of database. Relational databases are set up to connect their objects (like tables) to each other with keys. For example, there might be one table with user information (name, username, date of birth, customer number) and another table with purchase information (customer number, item purchased, price paid). In this example, the key that creates a relationship between the tables is the customer number. 

3. Non-Relational or NoSQL Databases  

Non-relational databases were invented more recently than relational databases and hierarchical databases in response to the growing complexity of web applications. Non-relational databases are any database that doesn’t use a relational model. You might also see them referred to as  NoSQL databases . Non-relational databases store data in different ways such as unstructured data, structured document format or as a graph. Relational databases are based on a rigid structure whereas non-relational databases are more flexible.

4. Cloud Databases

Cloud databases refer to information that’s accessible in a hybrid or cloud environment. All users need is an internet connection to reach their files and manipulate them like any other database. A convenience of cloud databases is that they don’t require extra hardware to create more storage space. Users can either build a cloud database themselves or pay for a service to get started.

5. Centralized Databases

Centralized databases are contained within a single computer or another physical system. Although users may access data through devices connected within a network, the database itself operates from one location. This approach may work best for larger companies or organizations that want to prioritize data security and efficiency.

6. Distributed Databases

Distributed databases run on more than one device. That can be as simple as operating several computers on the same site, or a network that connects to many devices. An advantage of this method is that if one computer goes down, the other computers and devices keep functioning.  

7. Object-Oriented Databases 

Object-oriented databases perceive data as objects and classes. Objects are specific data — like names and videos — while classes are groups of objects. Storing data as objects means users don’t have to distribute data across tables. This makes it easier to determine the relationships between variables and analyze the data. 

8. Graph Databases

Graph databases highlight the relationships between various data points. While users may have to do extra work to determine trends in other types of databases, graph databases store relationships right next to the data itself. Users can then immediately see how various data points are connected to each other.  

What Are the Components of a Database?

The components of a database vary slightly depending on whether the database is hierarchical, relational or non-relational. However, here’s a list of database components you might expect to be associated with any database.

The database schema is essentially the  design of the database . A schema is developed at the early conceptual stages of building a database. It’s also a valuable source of ongoing information for those wanting to understand the database’s design. 

Constraints and Rules

Databases use constraints to determine what types of tables can (and cannot) be stored and what types of data can live in the columns or rows of the database tables, for example. These constraints are important because they ensure data is structured, less corruptible by unsanctioned  data structures and that the database is regulated so users know what to expect. These constraints are also the reason why databases are considered rigid.

Metadata is essentially the data about the data. Each database or object has metadata, which the database software reads in order to understand what’s in the database. You can think of metadata as the database schema design and constraints combined together so a machine knows what kind of database it is and what actions can (or can’t) be performed within the database. 

Query Language

Each database can be queried. In this case, “queried” means people or services can access the database. That querying is done by way of a particular language or code snippet. The most common querying language is SQL (Structured Query Language) but there are also many other languages and even SQL variations like  MySQL , Presto and Hive.

Each database is a collection of objects. There are a few different types of objects stored within databases such as tables, views, indexes, sequences and synonyms. The most well known of these are tables, like spreadsheets, that store data in rows and columns. You may also hear the term “object instance,” which is simply an instance or element of an object. For example, a table called “Transactions” in a database is an instance of the object-type table.

Database Advantages

The structured nature of databases offers a range of benefits for professional and casual users alike. Below are some of the more prominent advantages:  

• Improved data sharing and handling
• Improved data storage capacity
• Improved data integrity and data security
• Reduced data inconsistency 
• Quick data access
• Increased productivity
• Improved data-driven decision making  

Database Disadvantages

Although databases can be helpful for many, there are some limitations to consider before investing in a database: 

• High complexity
• Required dedicated database management staff
• Risk of database failure​

Applications of Databases

When used correctly, databases can be a helpful tool for organizations in various industries looking to better arrange their information. Common use cases include:

• Healthcare: storing massive amounts of patient data .
• Logistics: monitoring and analyzing route information and delivery statuses.
• Insurance: storing customer data like addresses, policy details and driver history.
• Finance: handling account details, invoices, stock information and other assets.
• E-commerce: compiling and arranging data on products and customer behavior.
• Transportation: storing passengers’ names, scheduled flights and check-in status.
• Manufacturing: keeping track of machinery status and production goals.
• Marketing: collecting data on demographics, purchasing habits and website visits.
• Education: tracking student grades, course schedules and more.
• Human resources: organizing personnel info, benefits and tax information.

Future of Databases

As organizations handle increasing amounts of data, future databases must be able to keep up. Users will expect databases to be accessible across the globe and able to deal with limitless volumes of data. As a result, it’s likely that more companies will migrate their data to cloud environments. The percent of data stored in the cloud doubled between 2015 and 2022, and there’s reason to believe this percentage will only grow in the years to come. 

With the increase in data has also come a spike in cybersecurity threats , so organizations can be expected to complement their cloud environments with reinforced security measures . Databases will become more easily accessible only for authorized personnel while companies adopt tools and best practices for keeping their data out of the wrong hands.

Frequently Asked Questions

What is the difference between a database and a spreadsheet.

Spreadsheets organize data into rows and columns, with each individual cell housing the actual data. Databases also employ rows and columns, but each cell contains a record of data gathered from an external table. As a result, databases provide more ways to arrange and structure information as opposed to spreadsheets.

What is the most commonly used database type?

The most commonly used database type is the relational database.

What is the definition of a database?

A database is highly organized information that is designed to be easily accessible and navigable for users. Most databases are stored on computers, making it possible to quickly analyze, transform and manipulate data in other ways.

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database , any collection of data, or information , that is specially organized for rapid search and retrieval by a computer . Databases are structured to facilitate the storage, retrieval, modification, and deletion of data in conjunction with various data-processing operations. A database management system (DBMS) extracts information from the database in response to queries.

A brief treatment of databases follows. For full treatment, see computer science: Information systems and databases ; information processing .

A database is stored as a file or a set of files. The information in these files may be broken down into records , each of which consists of one or more fields. Fields are the basic units of data storage, and each field typically contains information pertaining to one aspect or attribute of the entity described by the database. Records are also organized into tables that include information about relationships between its various fields. Although database is applied loosely to any collection of information in computer files, a database in the strict sense provides cross-referencing capabilities. Using keywords and various sorting commands, users can rapidly search, rearrange, group, and select the fields in many records to retrieve or create reports on particular aggregates of data.

Database records and files must be organized to allow retrieval of the information. Queries are the main way users retrieve database information. The power of a DBMS comes from its ability to define new relationships from the basic ones given by the tables and to use them to get responses to queries. Typically, the user provides a string of characters, and the computer searches the database for a corresponding sequence and provides the source materials in which those characters appear; a user can request, for example, all records in which the contents of the field for a person’s last name is the word Smith .

The many users of a large database must be able to manipulate the information within it quickly at any given time. Moreover, large business and other organizations tend to build up many independent files containing related and even overlapping data, and their data-processing activities often require the linking of data from several files. Several different types of DBMS have been developed to support these requirements: flat, hierarchical, network, relational, and object-oriented.

Early systems were arranged sequentially (i.e., alphabetically, numerically, or chronologically); the development of direct-access storage devices made possible random access to data via indexes. In flat databases, records are organized according to a simple list of entities; many simple databases for personal computers are flat in structure. The records in hierarchical databases are organized in a treelike structure, with each level of records branching off into a set of smaller categories. Unlike hierarchical databases, which provide single links between sets of records at different levels, network databases create multiple linkages between sets by placing links, or pointers, to one set of records in another; the speed and versatility of network databases have led to their wide use within businesses and in e-commerce . Relational databases are used where associations between files or records cannot be expressed by links; a simple flat list becomes one row of a table, or “relation,” and multiple relations can be mathematically associated to yield desired information. Various iterations of SQL (Structured Query Language) are widely employed in DBMS for relational databases. Object-oriented databases store and manipulate more complex data structures, called “objects,” which are organized into hierarchical classes that may inherit properties from classes higher in the chain; this database structure is the most flexible and adaptable.

The information in many databases consists of natural-language texts of documents; number-oriented databases primarily contain information such as statistics, tables, financial data, and raw scientific and technical data. Small databases can be maintained on personal-computer systems and used by individuals at home. These and larger databases have become increasingly important in business life, in part because they are now commonly designed to be integrated with other office software, including spreadsheet programs.

Typical commercial database applications include airline reservations, production management functions, medical records in hospitals, and legal records of insurance companies. The largest databases are usually maintained by governmental agencies, business organizations, and universities. These databases may contain texts of such materials as abstracts, reports, legal statutes, wire services, newspapers and journals, encyclopaedias, and catalogs of various kinds. Reference databases contain bibliographies or indexes that serve as guides to the location of information in books, periodicals, and other published literature. Thousands of these publicly accessible databases now exist, covering topics ranging from law, medicine, and engineering to news and current events, games, classified advertisements, and instructional courses.

Increasingly, formerly separate databases are being combined electronically into larger collections known as data warehouses . Businesses and government agencies then employ “ data mining ” software to analyze multiple aspects of the data for various patterns. For example, a government agency might flag for human investigation a company or individual that purchased a suspicious quantity of certain equipment or materials, even though the purchases were spread around the country or through various subsidiaries.

Research Tutorial

• Introduction
• Understanding Your Assignment
• Developing Key Term from Your Topic
• Creating Searches
• Searching the Library Catalog
• Finding Books on the Shelf
• The Call Number System

What Are Databases?

• Accessing Databases
• Off Campus Access
• Choosing a Database
• The Mechanics of Searching
• Finding Websites
• Evaluating Websites
• What Every Citation Needs
• Citation Formats
• Making the Databases Work for You
• Resources for Citation Formats

In the context of libraries and doing research, the generally accepted definition of a database is "an electronic collection of searchable information on one or more topics."

Right. So we ask again, what are databases?

Think of databases as penned up corners of the Internet, sections that have been fenced off and locked, so that a regular Internet search (say, searching Google) won't find what's inside. And of course, it's behind this fence that most of the good information for doing academic research sits.

Why do they make this stuff hard to get to?

Unfortunately, like many things, it comes down to money. The companies who publish academic journals, magazines, and newspapers (all types of material you will find in these databases) need to make money. The people who digitize the content and create the search platforms need to make money. So they restrict access to the database by making them available through subscriptions.

So where does that leave you, the researcher?

With the library, of course!

One of the biggest roles that an academic library plays (and, not inconsequentially, where a large portion of the library's budget goes!) is in providing access to these databases. The library is your key through those locked gates. So rather than going to Google to try to find an academic journal article, come to the library's web page. We know the secret codes to get you in.

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English 1013 - Composition I: What is a database?

• What is a database?
• About Academic Writing
• Explain a Concept
• Opposing Arguments
• Avoid Plagiarism

Library Databases

Your best bet when doing any type of research for course assignments is to use the library databases. When you search using Find It , you are searching one kind of database.  However, there are many more to choose from, each focused on a certain kind of resource or focused around a certain subject.  Library databases were built with you--the researcher--in mind, and include many tools to help you organize, cite, and save the scholarly resources you find.

What is a Database?

A database is an electronic collection of information that is organized so that it can easily be accessed, managed, and updated. Amazon.com is a familiar database as is the library's catalog, Find It . The library also subscribes to over 200 scholarly and research databases.  You can browse them all here:  http://libguides.atu.edu/az.php

Basic Database Searching

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Multi-subject Databases

Multi-disciplinary database with full text journals, indexing /abstracts, monographs, reports, conference proceedings, and more.  

Multidisciplinary database of periodical content.

Databases provided by the Arkansas State Library [ASL] Traveler project are funded by a grant from the U.S. Institute of Museum and Library Services (Grant LS-00-14-0004-14) and the Arkansas Department of Education.

Multidisciplinary digital library of academic journals, books, and primary sources.

Full text, multidisciplinary databases.

Online resource covering today’s social issues. Provides pro/con viewpoint essays, primary source documents, statistics, articles, and images.

Why Should I Use the Library Databases?

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Database.Guide

What is a database.

A database is a collection of data, stored in a logical and structured manner.

The way in which data is organised, allows for efficient retrieval of the data. Data can be viewed, inserted, updated, and deleted as required.

Most modern databases are built with database software such as Microsoft Access , SQL Server , MySQL , etc. But strictly speaking, a database could be a simple as an Excel spreadsheet or even a text file.

In fact, a database doesn’t necessarily need to be on a computer. A database could be paper-based. This is how data used to be stored before computers were created. Businesses and government agencies would maintain all data on paper, stored in large filing cabinets. These databases were more commonly referred to as “filing systems”.

But the world has moved on from paper-based systems, and the word “database” almost always refers to a database built on a computer using database software.

Database Software

Database software is software that enables you to create and maintain databases. A database program is usually referred to as a database management system ( DBMS ).

Database management systems allow you to perform a whole range of tasks. These can include:

• Create databases
• Create tables
• Create other DB objects such as views , stored procedures , triggers, indexes, and more
• Insert, update, and delete data
• Query the data (in a very precise way)
• Set up user accounts and roles
• Apply permissions to database objects (i.e. determine which objects each user is allowed to access)
• Apply other security settings
• Create and maintain log files
• Import/export data
• Backup/restore databases and their data
• Connect to remote databases (i.e. databases on other servers in other locations)
• And much more…

Relational Database Management Systems

Since the 1980s, the most common type of database management system is a relational  DBMS. A relational database management system ( RDBMS ) allows for data to be stored across multiple tables that can have a relationship with each other.  Microsoft Access, SQL Server, and MySQL are all relational DBMSs.

Examples of Relational Database Management Systems

Microsoft access.

Microsoft Access is a well known relational database management system. It’s probably one of the easier ones to learn for those with no experience with databases. It has traditionally been a desktop system, but has recently been branching out to web-based “Custom web apps”, which has a strong focus on sharing and collaboration.

The Access Welcome Screen

A Blank Database in Access

SQL Server is also from Microsoft, but it’s a step up from Access. SQL Server is an enterprise level RDBMS and is used by some of the largest companies in the world. It is a client-server system, which basically means multiple users can access the database from any location.

MySQL is an open source RDBMS, and is one of the most widely used database management systems in the world. Many websites (large and small) use MySQL and most hosting companies support it. MySQL is also a client-server system.

NoSQL Databases

NoSQL is a term that refers loosely to a particular type of database model, or database management system that doesn’t adhere strictly to the relational/SQL model.

NoSQL is a very broad term that doesn’t refer to one particular database model. Rather, it refers to a whole variety of different models that don’t fit into the relational model.

NoSQL database types include graph databases , column store databases , document store databases , key-value databases , etc.

NoSQL DBMSs include MongoDB, Neo4j, Redis, Cassandra, etc.

Many DBMSs are multi-model these days. For example, many RDBSs include aspects that were typically associated with NoSQL, such as document store, column store, graph, etc.

Database Software vs Spreadsheets

Spreadsheet software such as Excel can provide quite good functionality for storing data. But it does have its limitations.

Spreadsheets were originally designed for accounting/bookkeeping tasks, but they also become popular for many situations where tabular data needed to be presented, sorted, filtered, etc.

So spreadsheets can still be used for storing data if you have no other choice.

But a DBMS will provide many benefits over a spreadsheet. The benefits of a well configured DBMS include:

• Enforces data integrity (basically, you’re less likely to get “wrong” data)
• Keeps the data more secure
• Designed to store much more data than spreadsheets are typically designed for
• Can handle more simultaneous users, especially server-based DBMSs
• Supports other complex tasks such as scheduled backups, scheduled data transfers, replication, query optimisation, triggers, etc

There are many more benefits of database management systems, but the above are probably already enough to make DBMSs a central part of any business or organisation.

If you’re currently using spreadsheets to keep track of data, and you find it becoming difficult to manage, check out how to create a database in Access  to get a taste of how easy it can be to create a database. While you’re at it, why not take it a step further and check out the  Microsoft Access Tutorial .

A database is a structured, organized collection of data stored on a computer system. Databases typically store information in multiple linked tables that keep relevant data for each record in dedicated fields . Database management system ( DBMS ) software maintains the relationships between tables, adds and updates records, and displays data in response to queries.

Most modern databases are relational databases , which link multiple tables together by creating relationships between primary key fields. For example, a business may keep a database that tracks customer information (like their name and email address) in one table, orders in another, and products for sale in a third table. Each record in these tables has a primary key field containing a unique ID that records in other tables can refer to; every order links to the CustomerID for the customer that placed the order and to the ProductID for each product purchased.

Looking up information in a database is called a query . Most databases use the structured query language ( SQL ) standard for queries, which lets you access and update records across multiple tables in a database. For example, a query to a database could display all customers in a particular ZIP code, all orders placed within the past week, or which customers have purchased a specified product more than once.

Databases are used for countless purposes in business, education, healthcare, and government. E-commerce , social media , news sites, and other dynamic websites use databases as a backend to store their content, generating pages containing content from their databases on demand. Finally, while early databases could only handle plain text, modern databases can store other data types like pictures, audio, and video.

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Which of the following is an edutainment software title?

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• Database management

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. This comprehensive guide to data management further explains what it is and provides insight on its individual disciplines, best practices, challenges that organizations face and the business benefits of a successful data management strategy. You'll also find an overview of data management tools and techniques. Throughout the guide, hyperlinks point to related articles that provide more information and offer expert advice on managing data.

Database (db).

• Alexander S. Gillis, Technical Writer and Editor
• Ben Lutkevich, Site Editor
• Adam Hughes

What is a database (DB)?

A database is information that's set up for easy access, management and updating. Computer databases typically store aggregations of data records or files that contain information such as sales transactions, customer data, financials and product information.

Databases are used for storing, maintaining and accessing any sort of data. They collect information on people, places or things. This information is gathered in one place so it can be observed and analyzed. Databases can be thought of as an organized collection of information.

Databases are essential for storing large amounts of data in one place. With databases, organizations can quickly access, manage, modify, update, organize and retrieve their data.

Databases are normally controlled using a database management system ( DBMS ). In the database, data is organized into tables consisting of rows and columns. Many databases also use Structured Query Language ( SQL ) for writing and querying data. There are different kinds of databases, however, so the exact language used and how it works depends on the type of database.

This article is part of

What is data management and why is it important? Full guide

• Which also includes:
• 8 data integration challenges and how to overcome them
• Data lake vs. data warehouse: Key differences explained
• What key roles should a data management team include?

What are databases used for?

Business, government and scientific fields use databases for data storage, analysis and management. Organizations use the data stored in databases to make informed business decisions. Some of the ways organizations use databases include the following:

• Improve business processes. Companies collect data about business processes , such as sales, order processing and customer service. They analyze that data to improve these processes, expand their business and grow revenue.
• Keep track of customers. Databases often store information about people, such as customers or users. For example, social media platforms use databases to store user information, such as names, email addresses and user behavior. That data is used to recommend content to users and improve the user experience .
• Secure personal health information. Healthcare providers use databases to securely store personal health data to inform and improve patient care.
• Store personal data. Databases can also be used to store personal information. For example, personal cloud storage is available for individual users to store media, such as photos, in a managed cloud.

Types of databases

There are many types of databases. They're classified according to content type: bibliographic, full text, numeric and images. In computing, databases are often classified by the organizational approach they use.

Some of the main organizational databases include the following.

This tabular approach defines data so it can be reorganized and accessed in several ways. Relational databases are comprised of tables and data is placed into predefined categories in those tables. Each table has columns with at least one data category, and rows that have a certain data instance for the categories that are defined in the columns. Information about a specific customer in a relational database is organized into rows, columns and tables. These are indexed to make it easier to search using SQL or NoSQL queries.

Relational databases use SQL in their user and application programming interfaces ( APIs ). A new data category can easily be added to a relational database without having to change the existing applications. A relational database management system (RDBMS) is used to store, manage, query and retrieve data in a relational database.

Typically, the RDBMS gives users the ability to control read/write access, specify report generation and analyze use. Some databases offer atomicity, consistency, isolation and durability -- known as ACID -- compliance to guarantee that data is consistent and transactions are complete.

Distributed

This database stores records or files in several physical locations. Data processing is also spread out and replicated across different parts of the network. Distributed databases can be homogeneous, where all physical locations have the same underlying hardware and run the same operating systems (OSes) and database applications. They can also be heterogeneous. In those cases, the hardware, OS and database applications can be different in the various locations.

Cloud databases are built in a public, private or hybrid cloud for a virtualized environment. Users are charged based on how much storage and bandwidth they use. They also get scalability on demand and high availability . These databases can work with applications deployed as software as a service. The as-a-service offering is typically called database as a service, or DBaaS .

NoSQL databases are good when dealing with large collections of distributed data. They can address big data performance issues better than relational databases. They also do well analyzing large unstructured data sets and data on virtual servers in the cloud. These databases can also be called non-relational databases.

Object-oriented

Object-oriented databases hold data created using object-oriented programming languages. They focus on organizing objects rather than actions and data rather than logic. For instance, an image data record would be a data object rather than an alphanumeric value.

These databases are a type of NoSQL database. They store, map and query relationships using concepts from graph theory. Graph databases are made up of nodes and edges. Nodes are entities that connect the nodes. These databases are often used to analyze interconnections . Graph databases are often used to analyze data about customers as they interact with a business on web pages and social media.

Graph databases use the SPARQL declarative programming language and protocol for analytics. SPARQL can perform all the same analytics as SQL but can also be used for semantic analysis -- or the examination of relationships. This makes it useful for performing analytics on data sets that have both structured and unstructured data. SPARQL lets users perform analytics on information stored in a relational database, as well as friend-of-a-friend relationships, PageRank and shortest path.

A multimodel database supports multiple data models, which define the parameters for how the information in a database is organized and arranged. Being multimodel enables IT teams to meet various application requirements without needing to deploy different database systems. For example, multimodel databases can use data models such as relational, hierarchical, object, graph and NoSQL databases.

Self-driving

A self-driving -- or autonomous -- database is a newer type of database that automates regular data management tasks, such as backups, updates, tuning and security. These databases are cloud-based and use machine learning processes in their automation. Self-driving databases require minimal human intervention to handle day-to-day operations. This reduces the time required for database administrators to manage a database.

Data warehouse

This is a repository of data from an organization's operational systems and other sources. Data warehouses are commonly designed for fast querying and analysis. Typically, a data warehouse is a relational database that's either on-premises in the data center or in the cloud.

What are the components of a database?

While the different types of databases vary in schema , data structure and data types most suited to them, they're all comprised of the following five basic components:

• Hardware. This is the physical device that database software runs on. Database hardware includes computers, servers and hard drives.
• Software. Database software or applications give users control of the database. DBMS software is used to manage and control databases.
• Data. This is the raw information that the database stores. Database administrators organize the data to make it more meaningful.
• Data access language. This is the programming language that controls the database. The programming language and the DBMS must work together. One of the most common database languages is SQL.
• Procedures. These rules determine how the database works and how it handles the data.

What are database challenges?

Setting up, operating and maintaining a database presents common challenges, such as the following:

• Data security is required because data is a valuable business asset. Protecting data stores requires skilled cybersecurity staff, which can be costly.
• Data integrity ensures data is trustworthy. It isn't always easy to achieve data integrity because it means restricting access to databases to only those qualified to handle it.
• Database performance requires regular database updates and maintenance. Without the proper support, database functionality can decline as the technology supporting the database changes or as the data it contains changes.
• Database integration can also be difficult. It can involve integrating data sources from varying types of databases and structures into a single database or into data lakes and data warehouses.
• Scalability is difficult for on-premises databases. It's challenging to predict the capacity needed. Cloud-based databases don't have this issue to the same extent.

What is a database management system?

A DBMS is software that enables users to create and manage a database. It also helps them create, read, update and delete data in a database, and it assists with logging and auditing functions.

A DBMS provides physical and logical independence from data. Users and applications don't need to know either the physical or logical locations of data. A DBMS can also limit and control access to the database and provide different views of the same database schema to multiple users. Some examples of DBMSes include Microsoft SQL Server, MySQL and Oracle Database.

Evolution of databases

Databases were first created in the 1960s. These early databases were network models where each record is related to many primary and secondary records. Hierarchical databases were also among the early models. They have tree schemas with a root directory of records linked to several subdirectories.

Relational databases were developed in the 1970s and became more popular in the following decade. E.F. Codd outlined the concept of the relational database in the 1970s while at IBM. It became the standard for database systems because of its logical schema, or the way it's organized. The use of a logical schema separates the relational database from physical storage.

The relational database, combined with the growth of the internet beginning in the mid-1990s, led to a proliferation of databases, where many business and consumer applications began relying on them.

Object-oriented databases came next in the 1990s. This type of database enables users to quickly query data with complex relationships. Today, we use SQL, NoSQL, cloud and self-driving databases.

What is the future of databases?

The technology behind databases has changed since the conception of network and hierarchical databases in the 1960s. Most databases now are of the SQL, NoSQL and cloud-based varieties. However, self-driving databases are also making headway with services such as Oracle Autonomous Database.

The advent of self-driving databases also introduces a potential future trend in databases. That's the incorporation of artificial intelligence and machine learning to manage and optimize database performance. These tools are designed to operate in databases to minimize the need for database administrators to manually maintain them. They're able to handle numerous data management tasks.

Another trend is cloud-native databases, which are databases built from the ground-up to operate in the cloud. This type of database is more resilient, is designed to work with the distributed nature of the cloud, and can optimize performance and manage resources more efficiently.

Databases are also more likely to see an increased level of data security , as this is becoming a more significant factor for organizations that move their database to the cloud. Cloud databases commonly face threats such as exposed APIs, workload hijacking, data exposure and other exploits. Many cloud database services come with security features such as automatic backups, data encryption, identity and access management permissions and role-based access.

For organizations running their database servers in the cloud, security is becoming an increasingly critical topic. Learn more about cloud database security , the threats it faces and its best practices.

Continue Reading About database (DB)

• Should you run your database on premises or in the cloud?
• Vector vs. graph vs. relational database: Which to choose?
• Different types of database management systems explained

Compare NoSQL database types in the cloud

• On-prem vs cloud storage: Four decisions about data location

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What Is A Database?

A database is like a big digital filing cabinet where you keep all sorts of information. Just like how you put papers in folders and label them so you can find them easily, a database organizes data so you can quickly find, use, and manage it on a computer. ‍

Revolutionizing Data: The History of The Database

Databases have revolutionized the way we handle our data. How did it start and evolve to what it is now? 

• IBM’s IMS: In 1960, the first navigational databases were developed.
• Relational Databases: In 1970, Edgar Codd produced the foundation for relational databases.
• SQL: During the same era of 1970, Structured Query Language (SQL) was created, and it proved to be the most useful way to manage data.
• DBaaS: In the modern 21st century, cloud databases, Database as a service (DBaaS), and AI-driven databases have all been made possible and accessible to the masses.

Of course, today's databases are the most versatile and powerful. They not only support the real-time processing of large amounts of data but also handle the analysis of big data across many systems. 

The creation of in-memory databases, cloud databases, and blockchain databases continues to pioneer and push the evolution of our database system technology. With that being said, it’s only natural since our world is becoming increasingly digitized. 

Database Definition

Essentially, a database is a digital system. Its purpose is to organize and manage data. It also stores and retrieves data.

Remember the following: 

• Databases accommodate many data forms, like multimedia, text, and numbers.
• These systems are essential for smoothly operating mobile apps, financial systems, web services, and more.
• Databases support analytics, transaction processing, and querying.

They are valuable tools for managing data demands and presenting scalability and efficiency. 

The Role of A Database Management System (DBMS)

A Database Management System (DBMS) organizes data files, giving users the tools to create, edit, and manage their data effectively and efficiently.

Today, a Database management System (DBMS) is what drives modern data handling. Essentially, it is the platform on which data apps operate, stick to their defined structures, and where data interact with data across multiple other apps. A DBMS makes data easily accessible and keeps the data safe in all manners.

These management systems make sure that data is secured and that data integrity is maintained. Modern-day businesses rely heavily on DBMS, whether that business is small or large. Investing in a DBMS is a smart decision since it protects a business’ prospects in more ways than one.

Database Software: What Is It?

Database software is the backbone of data management. Database software streamlines data management and provides valuable data analysis. Database software is valuable for developers, analysts, and businesses. 

Database software varies to meet the specific needs of an organization or an individual. Database software continues to evolve. Here are some examples: 

• Oracle Database
• Microsoft SQL Server
• Amazon DynamoDB

Modern options offer robust, custom solutions that can be scaled. Complex data landscapes continue to demand better software. 

Exploring The Different Types of Databases

The realm of data management evolves parallel to our need for more sophisticated software and hardware. We’ve categorized database systems into three primary types with distinct storage needs and data structures.

Want to get expert opinion and knowledge on this topic? Studyfy can help you with database assignment help right now. Moving along the first category includes Relational Database Management Systems (RDBMS). The second one will inform us on NoSQL databases. The third category will touch on In-memory databases and more high-performance databases.

Let’s get into it. 

Traditional or Structured Data Management 

What are databases, and what are traditional or structured data management databases? These databases provide organized, efficient, and reliable storage and retrieval of structured data. In this category, we have Relational Database Management Systems (RDBMS) and Object-Oriented Databases (OODBMS). 

• RDBMS: These databases use tables for structured data management and storage. They’re perfect for apps that require complex queries and transactions. Some examples of RDBMS include MySQL, PostgreSQL, and Oracle . 
• OODBMS: These databases store data as objects. They are perfect for apps with complex data structures. Some examples of OODBMS include db40, which is efficient object storage for Java and .NET, and ObjectDB, which offers fast data access for Java. 

RDBMS is favored for its robust querying and transactional capabilities. On the other hand, OODBMS is favored for its intuitive data management. If you’re wondering which type is better for your business, you should do deeper research. 

Flexible or Unstructured Data Management 

Flexible or unstructured databases like NoSQL databases promote flexibility in data management and scaling. This type offers multiple models for specific use cases. What are some examples? Let’s take a look at the following: 

• Document Stores: Organizes your data as documents. This enables versatility in content management. Examples of document stores include MongoDB and CouchDB.
• Key-value Stores: Simplifies data storage. Does so by producing key-value pairs for high-speed lookup. Some examples include Redis and DynamoDB.
• Wide-column Stores: Stores data in columns that are optimized for large-scale queries. Examples of wide-column stores are Cassandra and HBase.
• Graph Databases: Ideal for analyzing relationships between data. Graph databases represent data as edges and notes. Some notable examples include Neo4j and Amazon Neptune.

Databases in this category excel in managing a large amount of data. Data that doesn’t fit into traditional relational databases. These types offer specialized solutions that meet the demands of many complex data scenarios. 

High-Performance and Specialized Use Cases

When exploring what is database technology for high-demand data management, systems that are optimized for speed and unique demands are used. Here are some high-performance and specialized databases: 

• In-memory Databases (IMDB): These use RAM for fast processing. Fast processing is crucial for real-time analytics. Want to know more about databases? Studyfy can help you with that and provide C++ homework help , so don’t fret. Some examples of IMBDs are Redis and SAP HANA.
• Time-series Databases (TSDB): Designed for sequential data analysis like IoT and financial monitoring. Some great examples include InfluxDB and Timescale DB.
• NewSQL Databases: Databases that are highly reliable and scalable. They’re perfect for transaction apps. Examples include Google Spanner and CockroachDB.

Do you recognize one that you or your company might be using? These databases can be found in operation across many industries.

The Role of Database Insights

Understanding the role of database insights and database meaning is crucial for success in our data-driven economy. Businesses should understand that databases are not just for storage; they can be used to analyze and extract data that will drive a business forward.

Database insights can be a key driver to competitive advantages and, ultimately, to success. By leveraging data correctly, companies can make accurate strategic decisions.

Final Thoughts

We’ve learned the fundamentals and answered the question: What is a database? We’ve looked at its history, its main functions, and purposes, and we’ve looked at the different types of databases that are available out there and ready to use for our specific needs. 

We hope you’ve grasped the basics that involve databases, and we hope you can use our categorizations and recommendations for your specific interests.

Whether you’re new in IT, a business that needs data management, or simply a curious reader, if you need to manage vast amounts of data, it might be time to invest in a solution.

What is a database?

A database stands as a meticulously organized digital platform designed for the storage, retrieval, and management of data. In simpler terms, a database management system stores data needed for later use.

From the precision-driven relational databases perfect for structured data and complex queries to the adaptable NoSQL databases ideal for unstructured data, databases form the backbone of everything digital, powering web applications to big data analytics with unparalleled efficiency. 

Get help with databases and Java homework help right now on Studyfy. Work smarter and faster.

Why choose a relational database?

Opt for relational databases when your data demands structure. These databases excel in scenarios requiring intricate queries and unwavering transactional integrity.  Platforms like MySQL, PostgreSQL, and Oracle exemplify RDBMS capabilities, offering robust data organization, ACID compliance for reliability, and sharp query performance in the relational database world.

When should NoSQL databases take the lead?

NoSQL databases shine in their flexibility and scalability, perfectly handling unstructured or semi-structured data. Studyfy can also perfectly handle Python homework help for you. 

Whether it’s MongoDB’s document stores, Redis’s key-value pairs, Cassandra’s wide-column stores, or Neo4j’s graph databases, NoSQL is the solution when traditional structures fall short, enabling rapid development and performance at scale.

What sets object-oriented databases apart?

An object-oriented database system (OODBMS), storing data as objects akin to object-oriented programming, excels in managing complex data models. 

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What Is a Database?

November 24, 2020

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In This Article

• Database Defined
• What Is Structured Query Language (SQL)?
• Evolution of the Database
• What’s the Difference Between a Database and a Spreadsheet?
• Types of Databases
• What Is Database Software?
• What Is a Database Management System (DBMS)?
• What Is a MySQL Database?
• Using Databases to Improve Business Performance and Decision-Making
• Database Challenges
• How Autonomous Technology is Improving Database Management
• Future of Databases and Autonomous Databases

Database defined

A database is an organized collection of structured information, or data, typically stored electronically in a computer system. A database is usually controlled by a database management system (DBMS) . Together, the data and the DBMS, along with the applications that are associated with them, are referred to as a database system, often shortened to just database.

Data within the most common types of databases in operation today is typically modeled in rows and columns in a series of tables to make processing and data querying efficient. The data can then be easily accessed, managed, modified, updated, controlled, and organized. Most databases use structured query language (SQL) for writing and querying data.

What is Structured Query Language (SQL)?

SQL is a programming language used by nearly all relational databases to query, manipulate, and define data, and to provide access control. SQL was first developed at IBM in the 1970s with Oracle as a major contributor, which led to implementation of the SQL ANSI standard, SQL has spurred many extensions from companies such as IBM, Oracle, and Microsoft. Although SQL is still widely used today, new programming languages are beginning to appear.

Evolution of the database

Databases have evolved dramatically since their inception in the early 1960s. Navigational databases such as the hierarchical database (which relied on a tree-like model and allowed only a one-to-many relationship), and the network database (a more flexible model that allowed multiple relationships), were the original systems used to store and manipulate data. Although simple, these early systems were inflexible. In the 1980s, relational databases became popular, followed by object-oriented databases in the 1990s. More recently, NoSQL databases came about as a response to the growth of the internet and the need for faster speed and processing of unstructured data. Today, cloud databases and self-driving databases are breaking new ground when it comes to how data is collected, stored, managed, and utilized.

What’s the difference between a database and a spreadsheet?

Databases and spreadsheets (such as Microsoft Excel) are both convenient ways to store information. The primary differences between the two are:

• How the data is stored and manipulated
• Who can access the data
• How much data can be stored

Spreadsheets were originally designed for one user, and their characteristics reflect that. They’re great for a single user or small number of users who don’t need to do a lot of incredibly complicated data manipulation. Databases, on the other hand, are designed to hold much larger collections of organized information—massive amounts, sometimes. Databases allow multiple users at the same time to quickly and securely access and query the data using highly complex logic and language.

Types of databases

There are many different types of databases. The best database for a specific organization depends on how the organization intends to use the data.

Relational databases

• Relational databases became dominant in the 1980s. Items in a relational database are organized as a set of tables with columns and rows. Relational database technology provides the most efficient and flexible way to access structured information.

Object-oriented databases

• Information in an object-oriented database is represented in the form of objects, as in object-oriented programming.

Distributed databases

• A distributed database consists of two or more files located in different sites. The database may be stored on multiple computers, located in the same physical location, or scattered over different networks.

Data warehouses

• A central repository for data, a data warehouse is a type of database specifically designed for fast query and analysis.

NoSQL databases

• A NoSQL , or nonrelational database, allows unstructured and semistructured data to be stored and manipulated (in contrast to a relational database, which defines how all data inserted into the database must be composed). NoSQL databases grew popular as web applications became more common and more complex.

Graph databases

• A graph database stores data in terms of entities and the relationships between entities.
• OLTP databases. An OLTP database is a speedy, analytic database designed for large numbers of transactions performed by multiple users.

These are only a few of the several dozen types of databases in use today. Other, less common databases are tailored to very specific scientific, financial, or other functions. In addition to the different database types, changes in technology development approaches and dramatic advances such as the cloud and automation are propelling databases in entirely new directions. Some of the latest databases include

Open source databases

• An open source database system is one whose source code is open source; such databases could be SQL or NoSQL databases.

Cloud databases

• A cloud database is a collection of data, either structured or unstructured, that resides on a private, public, or hybrid cloud computing platform. There are two types of cloud database models: traditional and database as a service (DBaaS). With DBaaS, administrative tasks and maintenance are performed by a service provider.

Multimodel database

• Multimodel databases combine different types of database models into a single, integrated back end. This means they can accommodate various data types.

Document/JSON database

• Designed for storing, retrieving, and managing document-oriented information, document databases are a modern way to store data in JSON format rather than rows and columns.

Self-driving databases

• The newest and most groundbreaking type of database, self-driving databases (also known as autonomous databases) are cloud-based and use machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by database administrators.

What is database software?

Database software is used to create, edit, and maintain database files and records, enabling easier file and record creation, data entry, data editing, updating, and reporting. The software also handles data storage, backup and reporting, multi-access control, and security. Strong database security is especially important today, as data theft becomes more frequent. Database software is sometimes also referred to as a “database management system” (DBMS).

Database software makes data management simpler by enabling users to store data in a structured form and then access it. It typically has a graphical interface to help create and manage the data and, in some cases, users can construct their own databases by using database software.

What is a database management system (DBMS)?

A database typically requires a comprehensive database software program known as a database management system (DBMS). A DBMS serves as an interface between the database and its end users or programs, allowing users to retrieve, update, and manage how the information is organized and optimized. A DBMS also facilitates oversight and control of databases, enabling a variety of administrative operations such as performance monitoring, tuning, and backup and recovery.

Some examples of popular database software or DBMSs include MySQL, Microsoft Access, Microsoft SQL Server, FileMaker Pro, Oracle Database, and dBASE.

What is a MySQL database?

MySQL is an open source relational database management system based on SQL. It was designed and optimized for web applications and can run on any platform. As new and different requirements emerged with the internet, MySQL became the platform of choice for web developers and web-based applications. Because it’s designed to process millions of queries and thousands of transactions, MySQL is a popular choice for ecommerce businesses that need to manage multiple money transfers. On-demand flexibility is the primary feature of MySQL.

MySQL is the DBMS behind some of the top websites and web-based applications in the world, including Airbnb, Uber, LinkedIn, Facebook, Twitter, and YouTube.

Using databases to improve business performance and decision-making

With massive data collection from the Internet of Things transforming life and industry across the globe, businesses today have access to more data than ever before. Forward-thinking organizations can now use databases to go beyond basic data storage and transactions to analyze vast quantities of data from multiple systems. Using database and other computing and business intelligence tools, organizations can now leverage the data they collect to run more efficiently, enable better decision-making, and become more agile and scalable. Optimizing access and throughput to data is critical to businesses today because there is more data volume to track. It’s critical to have a platform that can deliver the performance, scale, and agility that businesses need as they grow over time.

The self-driving database is poised to provide a significant boost to these capabilities. Because self-driving databases automate expensive, time-consuming manual processes, they free up business users to become more proactive with their data. By having direct control over the ability to create and use databases, users gain control and autonomy while still maintaining important security standards.

Database challenges

Today’s large enterprise databases often support very complex queries and are expected to deliver nearly instant responses to those queries. As a result, database administrators are constantly called upon to employ a wide variety of methods to help improve performance. Some common challenges that they face include:

• Absorbing significant increases in data volume. The explosion of data coming in from sensors, connected machines, and dozens of other sources keeps database administrators scrambling to manage and organize their companies’ data efficiently.
• Ensuring data security. Data breaches are happening everywhere these days, and hackers are getting more inventive. It’s more important than ever to ensure that data is secure but also easily accessible to users.
• Keeping up with demand. In today’s fast-moving business environment, companies need real-time access to their data to support timely decision-making and to take advantage of new opportunities.
• Managing and maintaining the database and infrastructure. Database administrators must continually watch the database for problems and perform preventative maintenance, as well as apply software upgrades and patches. As databases become more complex and data volumes grow, companies are faced with the expense of hiring additional talent to monitor and tune their databases.
• Removing limits on scalability. A business needs to grow if it’s going to survive, and its data management must grow along with it. But it’s very difficult for database administrators to predict how much capacity the company will need, particularly with on-premises databases.
• Ensuring data residency, data sovereignty, or latency requirements. Some organizations have use cases that are better suited to run on-premises. In those cases, engineered systems that are pre-configured and pre-optimized for running the database are ideal.

Addressing all of these challenges can be time-consuming and can prevent database administrators from performing more strategic functions.

How autonomous technology is improving database management

Self-driving databases are the wave of the future—and offer an intriguing possibility for organizations that want to use the best available database technology without the headaches of running and operating that technology.

Self-driving databases use cloud-based technology and machine learning to automate many of the routine tasks required to manage databases, such as tuning, security, backups, updates, and other routine management tasks. With these tedious tasks automated, database administrators are freed up to do more strategic work. The self-driving, self-securing, and self-repairing capabilities of self-driving databases are poised to revolutionize how companies manage and secure their data, enabling performance advantages, lower costs, and improved security.

Future of databases and autonomous databases

The first autonomous database was announced in late 2017, and multiple independent industry analysts quickly recognized the technology and its potential impact on computing.

Related products

• Oracle Autonomous Database
• Oracle Exadata
• Oracle Autonomous Data Warehouse

Database Fundamentals/Introduction

This lesson introduces database concepts.

• 1 Objectives and Skills
• 3 Multimedia
• 4 Activities
• 5 Lesson Summary
• 6 Key Terms
• 8 References

Objectives and Skills

Objectives and skills for the database concepts portion of Microsoft Exam 98-364 Database Fundamentals include: [ 1 ]

• Understand what a relational database is, the need for relational database management systems (RDBMS), and how relations are established
• Understand what a table is and how it relates to the data that will be stored in the database; columns/fields, rows/records
• Understand how T-SQL can be used to create database objects, such as tables and views
• Understand what DML is and its role in databases
• Wikipedia: Database
• Wikipedia: Relational database
• Wikipedia: SQL
• Wikipedia: Data definition language
• Wikipedia: Data manipulation language
• Microsoft Virtual Academy: Introduction to Core Database Concepts
• YouTube: Relational Database Concepts
• YouTube: Intro to SQL
• YouTube: SQL Data Definition Language
• YouTube: SQL Server Management Studio Intro
• Watch YouTube: How To Download and Install Microsoft SQL Server 2014 management studio .
• Download Microsoft: Microsoft SQL Server 2014 Express .
• Install Microsoft SQL Server 2014 Express and SQL Server Management Studio on your computer.
• Watch YouTube: Install Adventure Works 2014 Sample Database SQL Server 2014 .
• Download Microsoft: AdventureWorks Sample Database and SQL Server Script .
• Install Microsoft Adventureworks Database in SQL Server on your computer.
• Watch YouTube: Microsoft SQL Server 2014 - Introductory Tutorial .
• Read Tutorial: SQL Server Management Studio .
• Practice learning how to use Microsoft SQL Server 2014 and SQL Server Management Studio on your computer.
• Watch YouTube: How to generate scripts for complete Microsoft SQL Server database (including data) .
• Read Microsoft: Generate a Script (SQL Server Management Studio) .
• Practice downloading either a database script or table script to identify DDL (use, create, alter, drop, truncate, delete) and DML (select, insert, update, delete, merge) commands.
• Watch YouTube: SQL Server Database Diagram in SQL Management Studio .
• Read Microsoft: Open Database Diagram Designer (Visual Database Tools) .
• In the E-R diagram, identify the displayed tables, columns and relationships.
• Watch YouTube: Exploring SQL Server Management Studio .
• Read Microsoft: Manage Objects By Using Object Explorer .
• Practice displaying and examining the database tables, columns and data.

Lesson Summary

• A database is an organized collection of data. [ 2 ]
• A database is a collection of schemas, tables, queries, reports, views and other objects. [ 3 ]
• A query language is a computer language used to make queries (or questions about data) in databases and information systems. [ 4 ]
• A database index is a data structure that improves the speed of data retrieval operations on a database table. Indexes are used to quickly locate data without searching every row in a database table every time a database table is accessed. [ 5 ]
• A database server is a computer program that provides database services to other computer programs or computers as defined by the client–server model. [ 6 ]
• A database management system (DBMS) is a computer software application that interacts with the user, other applications, and the database itself to capture and analyze data. A general-purpose DBMS is designed to allow the definition, creation, querying, update, and administration of databases. [ 7 ]
• A flat file database is a database which is stored on its host computer system as an ordinary flat file . [ 8 ]
• A hierarchical database model is a data model in which the data is organized into a tree-like structure. This model mandates that each child record has only one parent, whereas each parent record can have one or more child records. [ 9 ]
• A database table is a collection of related data held in a structured format within a database consisting of fields (columns), and rows. [ 10 ]
• A relational database is a database based on the relational model proposed by E.F. Codd in 1970 where data is stored into one or more tables (or "relations") of columns and rows, with a unique key identifying each row. [ 11 ]
• A database constraint restricts the data that can be stored in relations. The two principal rules for the relational model are known as entity integrity and referential integrity. [ 12 ]
• A primary key uniquely specifies a tuple within a table. In order for an attribute to be a good primary key it must not repeat. [ 13 ]
• A foreign key is a field in a relational table that matches the primary key column of another table. The foreign key can be used to cross-reference tables. Foreign keys do not need to have unique values in the referencing relation. [ 14 ]
• SQL Server Management Studio (SSMS) is a software application used for configuring, managing, and administering all components within Microsoft SQL Server. The tool includes both script editors and graphical user interface tools which work with objects and features of the server. [ 15 ]
• Xquery is a query and functional programming language that queries and transforms collections of structured and unstructured data. [ 16 ]
• SQLCMD is a command line application that comes with Microsoft SQL Server, and exposes the management features of SQL Server. It allows SQL queries to be written and executed from the command prompt. [ 17 ]
• Transact-SQL Transact-SQL (T-SQL) is Microsoft's and Sybase's proprietary extension to SQL. T-SQL expands on the SQL standard to include procedural programming, local variables, various support functions for string processing, date processing, mathematics, etc. and changes to the DELETE and UPDATE statements. [ 18 ]
• A data manipulation language (DML) is a family of syntax elements similar to a computer programming language used for selecting, inserting, deleting and updating data in a database. [ 19 ]
• A data definition language (DDL) is a syntax similar to a computer programming language for defining data structures. Structured query language uses a collection of verbs used to modify the schema of the database by adding, changing, or deleting definitions of tables or other objects. [ 20 ]
• Microsoft: Designing Tables
• Microsoft: Implementing a Relational Database
• Microsoft: Data Definition Language (DDL) Statements (Transact-SQL)
• Microsoft: Data Manipulation Language (DML) Statements (Transact-SQL)
• TutorialsPoint: DBMS Overview

• ↑ Microsoft: Database Fundamentals Exam Details
• ↑ Wikipedia:Database
• ↑ Wikipedia:Query language
• ↑ Wikipedia:Database index
• ↑ Wikipedia:Database server
• ↑ Wikipedia:Flat file database
• ↑ Wikipedia:Hierarchical database model
• ↑ Wikipedia:Table (database)
• ↑ Wikipedia:Relational database model
• ↑ Wikipedia:Relational Database
• ↑ Wikipedia:SQL Server Management Studio
• ↑ Wikipedia:xquery
• ↑ Wikipedia:Microsoft SQL Server
• ↑ Wikipedia:Transact-SQL
• ↑ Wikipedia:Data manipulation language
• ↑ Wikipedia:Data definition language

• Database Fundamentals

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Chapter 3 Characteristics and Benefits of a Database

Adrienne Watt

Managing information means taking care of it so that it works for us and is useful for the tasks we perform. By using a DBMS, the information we collect and add to its database is no longer subject to accidental disorganization. It becomes more accessible and integrated with the rest of our work. Managing information using a database allows us to become strategic users of the data we have.

We often need to access and re-sort data for various uses. These may include:

• Creating mailing lists
• Writing management reports
• Generating lists of selected news stories
• Identifying various client needs

The processing power of a database allows it to manipulate the data it houses, so it can:

• Skip fields

Because of the versatility of databases, we find them powering all sorts of projects. A database can be linked to:

• A website that is capturing registered users
• A client-tracking application for social service organizations
• A medical record system for a health care facility
• Your personal address book in your email client
• A collection of word-processed documents
• A system that issues airline reservations

Characteristics and Benefits of a Database

There are a number of characteristics that distinguish the database approach from the file-based system or approach. This chapter describes the benefits (and features) of the database system.

Self-describing nature of a database system

A database system is referred to as self-describing because it not only contains the database itself, but also metadata  which defines and describes the data and relationships between tables in the database. This information is used by the DBMS software or database users if needed. This separation of data and information about the data makes a database system totally different from the traditional file-based system in which the data definition is part of the application programs.

Insulation between program and data

In the file-based system, the structure of the data files is defined in the application programs so if a user wants to change the structure of a file, all the programs that access that file might need to be changed as well.

On the other hand, in the database approach, the data structure is stored in the system catalogue and not in the programs. Therefore, one change is all that is needed to change the structure of a file . This insulation between the programs and data is also called program-data independence.

Support for multiple views of data

A database supports multiple views of data.  A view is a subset of the database, which is defined and dedicated for particular users of the system. Multiple users in the system might have different views of the system. Each view might contain only the data of interest to a user or group of users.

Sharing of data and multiuser system

Current database systems are designed for multiple users. That is, they allow many users to access the same database at the same time. This access is achieved through features called concurrency control strategies . These strategies ensure that the data accessed are always correct and that data integrity is maintained. 

The design of modern multiuser database systems is a great improvement from those in the past which restricted usage to one person at a time.

Control of data redundancy

In the database approach, ideally, each data item is stored in only one place in the database. In some cases, data redundancy still exists to improve system performance, but such redundancy is controlled by application programming and kept to minimum by introducing as little redudancy as possible when designing the database.

Data sharing

The integration of all the data, for an organization, within a database system has many advantages. First, it allows for data sharing among employees and others who have access to the system. Second, it gives users the ability to generate more information from a given amount of data than would be possible without the integration.

Enforcement of integrity constraints

Database management systems must provide the ability to define and enforce certain constraints to ensure that users enter valid informatio n and maintain data integrity.  A database constraint is a restriction or rule that dictates what can be entered or edited in a table such as a postal code using a certain format or adding a valid city in the City field.

There are many types of database constraints. Data type , for example, determines the sort of data permitted in a field, for example numbers only. Data uniqueness such as the primary key ensures that no duplicates are entered. Constraints can be simple (field based) or complex (programming).

Restriction of unauthorized access

Not all users of a database system will have the same accessing privileges. For example, one user might have read-only access (i.e., the ability to read a file but not make changes), while another might have read and write privileges , which is the ability to both read and modify a file. For this reason, a database management system should provide a security subsystem to create and control different types of user accounts and restrict unauthorized access.

Data independence

Another advantage of a database management system is how it allows for data independence. In other words, the system data descriptions or data describing data (metadata) are separated from the application programs. This is possible because changes to the data structure are handled by the database management system and  are not embedded in the program itself.

Transaction processing

 A database management system must include concurrency control subsystems. This feature ensures that data remains consistent and valid during transaction processing even if several users update the same information.

Provision for multiple views of data

By its very nature, a DBMS permits many users to have access to its database either individually or simultaneously. It is not important for users to be aware of how and where the data they access is stored

Backup and recovery facilities

Backup and recovery are methods that allow you to protect your data from loss.  The database system provides a separate process, from that of a network backup, for backing up and recovering data. If a hard drive fails and the database stored on the hard drive is not accessible, the only way to recover the database is from a backup. If a computer system fails in the middle of a complex update process, the recovery subsystem is responsible for making sure that the database is restored to its original state. These are two more benefits of a database management system.

concurrency control strategies : features of a database that allow several users access to the same data item at the same time

data type :  determines the sort of data permitted in a field, for example numbers only

data uniqueness :  ensures that no duplicates are entered

database constraint : a restriction that determines what is allowed to be entered or edited in a table

metadata : defines and describes the data and relationships between  tables in the database

read and write privileges:  the ability to both read and modify a file

read-only access:  the ability to read a file but not make changes

self-describing : a  database system is referred to as self-describing because it not only contains the database itself, but also metadata which defines and describes the data and relationships between tables in the database

view : a subset of the database

• How is a DBMS distinguished from a file-based system?
• What is data independence and why is it important?
• What is the purpose of managing information?
• Discuss the uses of databases in a business environment.
• What is metadata?

Attribution

This chapter of  Database Design is a derivative copy of  Database System Concepts  by Nguyen Kim Anh licensed under  Creative Commons Attribution License 3.0 license

The following material was written by Adrienne Watt:

• Introduction

Database Design - 2nd Edition Copyright © 2014 by Adrienne Watt is licensed under a Creative Commons Attribution 4.0 International License , except where otherwise noted.

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Definition of database

Examples of database in a sentence.

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'database.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

Word History

circa 1962, in the meaning defined above

Dictionary Entries Near database

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“Database.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/database. Accessed 2 Sep. 2024.

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Skills for Academic and Personal Wellbeing

Effective U

• Introduction
• Assignments and Academic Writing
• Choosing a topic
• Focusing on a topic
• How to develop research questions
• Research by searching
• Keywords and searching
• What is a library database?
• Using library databases
• When is a source "good"?
• Citing sources
• Get help for your research

Databases can be general or specific

Start with a general database and then try more specific ones.

• general database examples:   Academic Search Premier or Google Scholar - search many subjects at once 
• specific database example:   APA PsycInfo - focuses on a few specific areas

Databases can also focus exclusively on source types

Some databases are great for academic journal articles. Others offer a mix source types like videos, maps, data, music, historic primary sources (e.g. old letters) and more.

Databases and you

• The U of M provides access to hundreds of different databases for your research. When you search a library database, you will see content that is only available to UMN students, and may not be included in Google (or similar) search results. 
• Do NOT pay for PDFs! The Library can get it for you - just use the online request form .

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Introduction to Library Research

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What is a Library Database?

A library database  is an electronic collection of information, organized to allow users to get that information by searching in various ways.

Examples of Database information

Articles from magazines, newspapers, peer-reviewed journals and more.  More unusual information such as medical images, audio recitation of a poem, radio interview transcripts, and instruction video can be found in databases as well.

General reference information such as that found in an encyclopedia.  Both very broad topic information is available as well as very specific.

Books.  Online versions, eBooks, are the same as print versions with some enhancements at times, such as an online glossary.  

Why not just use Google?

What’s the difference?

Information in a database has been tagged with all sorts of data, allowing you to search much more effectively and efficiently.  You can search by author, title, keyword, topic, publication date, type of source (magazine, newspaper, etc.) and more.

Database information has been evaluated in some way, ranging from a very rigorous peer-review publishing process to an editor of a popular magazine making a decision to publish an article. 

Databases are purchased, and most of the information is not available for free on the internet. The databases are continually updated as new information is produced.

Citation information.  Databases include the information you need to properly cite your sources and create your bibliography.  Information you retrieve using Google may or may not have this information.

My professor says I can’t use the Internet.  Can I still use these databases?

Yes!  The internet is only the delivery system for the databases.  The information in the databases is not found on the free web.

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Database Search

What is Database Search?

Harvard Library licenses hundreds of online databases, giving you access to academic and news articles, books, journals, primary sources, streaming media, and much more.

The contents of these databases are only partially included in HOLLIS. To make sure you're really seeing everything, you need to search in multiple places. Use Database Search to identify and connect to the best databases for your topic.

In addition to digital content, you will find specialized search engines used in specific scholarly domains.

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The Fundamentals of SQL

Relational databases use DDL, DML, DCL, and joins to create and report data

DDL and DML

• Data Definition Language Commands

Data Manipulation Language Commands

Database joins, types of joins.

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The Structured Query Language (SQL)is one of the fundamental building blocks of modern database architecture. SQL defines the methods used to create and manipulate relational databases on all major platforms. At first glance, the language may seem intimidating and complex, but it's not all that difficult. 

The correct pronunciation of SQL is a contentious issue within the database community. In its SQL standard, the American National Standards Institute declared that the official pronunciation is "es queue el." However, many database professionals have taken to the slang pronunciation "sequel." Much as with the pronunciation of GIF , there's no right answer.

SQL comes in many flavors. Oracle databases use its proprietary PL/SQL. Microsoft SQL Server makes use of Transact-SQL. All of the variations are based upon the industry standard ANSI SQL.

This introduction uses ANSI-compliant SQL commands that work on any modern relational database system.

SQL commands can be divided into two main sub-languages. The Data Definition Language contains the commands used to create and destroy databases and database objects. After the database structure is defined with DDL, database administrators and users can use the Data Manipulation Language to insert, retrieve and modify the data contained within it.

SQL supports a third type of syntax called Data Control Language . DCL governs security access to objects within the database. For example, a DCL script grants or revokes specific user accounts the right to read or write to tables within one or more defined areas of the database. In most managed multi-user environments, database administrators usually execute DCL scripts.

Data Definition Language Commands 

The Data Definition Language is used to create and destroy databases and database objects. These commands are primarily used by database administrators during the setup and removal phases of a database project. DDL revolves around four primary commands— create , use , alter , and drop .

The create command establishes databases, tables, or queries on your platform. For example, the command:

creates an empty database named employees on your DBMS. After creating the database, the next step is to create tables that contain data. Another variant of the create command accomplishes this purpose. The command:

establishes a table titled personal_info in the current database. In the example, the table contains three attributes: first_name ,  last_name , and employee_id along with some additional information.

The use command specifies the active database. For example, if you're currently working in the sales database and want to issue some commands that will affect the employee database, preface them with the following SQL command:

Double-check the database you're working in before issuing SQL commands that manipulate data.

After you've created a table within a database, modify its definition through the alter command, which changes to the structure of a table without deleting and recreating it. Take a look at the following command:

This example adds a new attribute to the personal_info table—an employee's salary. The money argument specifies that an employee's salary stores using a dollars and cents format. Finally, the null keyword tells the database that it's OK for this field to contain no value for any given employee.

The final command of the Data Definition Language, drop , removes entire database objects from our DBMS. For example, to permanently remove the personal_info table that we created, use the following command:

Similarly, the command below would be used to remove the entire employee database:

Use this command with care. The drop command removes entire data structures from your database. If you want to remove individual records, use the delete command of the Data Manipulation Language.

The Data Manipulation Language is used to retrieve, insert and modify database information. These DML commands offer the typical framework for interacting wihtin the database on a routine basis.

The insert command adds records to an existing table. Returning to the personal_info example from the previous section, imagine that our HR department needs to add a new employee to its database. Use a command similar to this one:

Note that there are four values specified for the record. These correspond to the table attributes in the order they were defined: first_name , last_name , employee_id and salary .

The select command is the most commonly used command in SQL. It retrieves specific information from an operational database. Take a look at a few examples, again using the personal_info table from the employee database.

The command shown below retrieves all the information contained within the personal_info table. The asterisk is a wildcard character in SQL.

Alternatively, limit the attributes that are retrieved from the database by specifying what gets selected. For example, the Human Resources department may require a list of the last names of all employees in the company. The following SQL command would retrieve only that information:

The where clause limits the records that are retrieved to those that meet specified criteria. The CEO might be interested in reviewing the personnel records of all highly paid employees. The following command retrieves all of the data contained within personal_info for records that have a salary value greater than $50,000:

The update command modifies the information contained within a table, either in bulk or individually. Assume the company gives all employees a 3 percent cost-of-living increase in their salary annually. The following SQL command applies this bump to all the employees stored in the database:

When the new employee Bart Simpson demonstrates performance above and beyond the call of duty, management wishes to recognize his stellar accomplishments with a $5,000 raise. The WHERE clause singles out Bart for this raise:

Finally, let's take a look at the delete command. You'll find that the syntax of this command is similar to that of the other DML commands. The DELETE command, with a where clause, remove a record from a table:

DML supports aggregate fields, too. In a select statement, mathematical operators like sum and count summarize data within a query. For example, the query:

select count(*) from personal_info;

counts the number of records in the table.

A join statement combines data in several tables to efficiently process large quantities of data. These statements are where the true power of a database resides.

To explore the use of a basic join operation to combine data from two tables, continue with the example using the personal_info table and add an additional table to the mix. Assume you have a table called disciplinary_action that was created with the following statement:

This table contains the results of disciplinary actions for company employees. It doesn't contain any information about the employee other than the employee number. 

Assume you've been tasked with creating a report that lists the disciplinary actions taken against all employees with a salary greater than $40,000. The use of a JOIN operation, in this case, is straightforward. Retrieve this information using the following command:

Joins come in several flavors. In the SQL statement, the first table (usually called Table A or the Left Table ) joins to the second table (usually called Table B or the Right Table ) in a position-aware manner. Thus, if you change the order of the tables in the join statement, the results of the operation will differ. The major join types include:

• Inner Join : Only matches records where the on condition matches the same records in both tables.
• Outer Join : Only matches records from both tables that exclude the results identified in the on condition.
• Right Join : Matches all records from Table B plus the records from Table A that match the on condition.
• Left Join : Matches all records from Table A plus the records from Table B that match the on condition.
• Cross Join : Matches all records as if the tables were identical. This process generates something called cartesian product . Often, cross-joins are unwelcome, because they match every row of Table A, individually, with every row of Table B. Thus, if Table A offered five records, and Table B offered 9 records, a cross-join query offers 45 resulting rows.
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Definition Essay

Definition Essay - Writing Guide, Examples and Tips

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Published on: Oct 9, 2020

Last updated on: Jan 31, 2024

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Many students struggle with writing definition essays due to a lack of clarity and precision in their explanations.

This obstructs them from effectively conveying the essence of the terms or concepts they are tasked with defining. Consequently, the essays may lack coherence, leaving readers confused and preventing them from grasping the intended meaning.

But don’t worry!

In this guide, we will delve into effective techniques and step-by-step approaches to help students craft an engaging definition essay.

Continue reading to learn the correct formation of a definition essay. 

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What is a Definition Essay?

Just as the name suggests, a definition essay defines and explains a term or a concept. Unlike a narrative essay, the purpose of writing this essay is only to inform the readers.

Writing this essay type can be deceivingly tricky. Some terms, concepts, and objects have concrete definitions when explained. In contrast others are solely based on the writer’s understanding and point of view.

A definition essay requires a writer to use different approaches when discussing a term. These approaches are the following:

• Denotation - It is when you provide a literal or academic definition of the term.
• Connotation - It is when the writer provides an implied meaning or definition of the term.
• Enumeration - For this approach, a list is employed to define a term or a concept.
• Analogy - It is a technique in which something is defined by implementing a comparison.
• Negation - It is when you define a term by stating what it is not.

A single or combination of approaches can be used in the essay. 

Definition Essay Types

There are several types of definition essays that you may be asked to write, depending on the purpose and scope of the assignment. 

In this section, we will discuss some of the most common types of definition essays.

Descriptive Definition Essay 

This type of essay provides a detailed description of a term or concept, emphasizing its key features and characteristics. 

The goal of a descriptive definition essay is to help readers understand the term or concept in a more profound way.

Stipulative Definition Essay 

In a stipulative definition essay, the writer provides a unique definition of a term or concept. This type of essay is often used in academic settings to define a term in a particular field of study. 

The goal of a stipulative definition essay is to provide a precise and clear definition that is specific to the context of the essay.

Analytical Definition Essay 

This compare and contrast essay type involves analyzing a term or concept in-depth. Breaking it down into its component parts, and examining how they relate to each other. 

The goal of an analytical definition essay is to provide a more nuanced and detailed understanding of the term or concept being discussed.

Persuasive Definition Essay 

A persuasive definition essay is an argumentative essay that aims to persuade readers to accept a particular definition of a term or concept.

The writer presents their argument for the definition and uses evidence and examples to support their position.

Explanatory Definition Essay 

An explanatory definition essay is a type of expository essay . It aims to explain a complex term or concept in a way that is easy to understand for the reader. 

The writer breaks down the term or concept into simpler parts and provides examples and analogies to help readers understand it better.

Extended Definition Essay 

An extended definition essay goes beyond the definition of a word or concept and provides a more in-depth analysis and explanation. 

The goal of an extended definition essay is to provide a comprehensive understanding of a term, concept, or idea. This includes its history, origins, and cultural significance. 

How to Write a Definition Essay?

Writing a definition essay is simple if you know the correct procedure. This essay, like all the other formal pieces of documents, requires substantial planning and effective execution.

The following are the steps involved in writing a definition essay effectively:

Instead of choosing a term that has a concrete definition available, choose a word that is complicated . Complex expressions have abstract concepts that require a writer to explore deeper. Moreover, make sure that different people perceive the term selected differently. 

Once you have a word to draft your definition essay for, read the dictionary. These academic definitions are important as you can use them to compare your understanding with the official concept.

Drafting a definition essay is about stating the dictionary meaning and your explanation of the concept. So the writer needs to have some information about the term.

In addition to this, when exploring the term, make sure to check the term’s origin. The history of the word can make you discuss it in a better way.

Coming up with an exciting title for your essay is important. The essay topic will be the first thing that your readers will witness, so it should be catchy.

Creatively draft an essay topic that reflects meaning. In addition to this, the usage of the term in the title should be correctly done. The readers should get an idea of what the essay is about and what to expect from the document.

Now that you have a topic in hand, it is time to gather some relevant information. A definition essay is more than a mere explanation of the term. It represents the writer’s perception of the chosen term and the topic.

So having only personal opinions will not be enough to defend your point. Deeply research and gather information by consulting credible sources.

The gathered information needs to be organized to be understandable. The raw data needs to be arranged to give a structure to the content.

Here's a generic outline for a definition essay:

Are you searching for an in-depth guide on crafting a well-structured definition essay?Check out this definition essay outline blog!

6. Write the First Draft

Drafting each section correctly is a daunting task. Understanding what or what not to include in these sections requires a writer to choose wisely.

The start of your essay matters a lot. If it is on point and attractive, the readers will want to read the text. As the first part of the essay is the introduction , it is considered the first impression of your essay.

To write your definition essay introduction effectively, include the following information:

• Start your essay with a catchy hook statement that is related to the topic and the term chosen.
• State the generally known definition of the term. If the word chosen has multiple interpretations, select the most common one.
• Provide background information precisely. Determine the origin of the term and other relevant information.
• Shed light on the other unconventional concepts and definitions related to the term.
• Decide on the side or stance you want to pick in your essay and develop a thesis statement .

After briefly introducing the topic, fully explain the concept in the body section . Provide all the details and evidence that will support the thesis statement. To draft this section professionally, add the following information:

• A detailed explanation of the history of the term.
• Analysis of the dictionary meaning and usage of the term.
• A comparison and reflection of personal understanding and the researched data on the concept.

Once all the details are shared, give closure to your discussion. The last paragraph of the definition essay is the conclusion . The writer provides insight into the topic as a conclusion.

The concluding paragraphs include the following material:

• Summary of the important points.
• Restated thesis statement.
• A final verdict on the topic.

7. Proofread and Edit

Although the writing process ends with the concluding paragraph, there is an additional step. It is important to proofread the essay once you are done writing. Proofread and revise your document a couple of times to make sure everything is perfect.

Before submitting your assignment, make edits, and fix all mistakes and errors.

If you want to learn more about how to write a definition essay, here is a video guide for you!

Definition Essay Structure 

The structure of a definition essay is similar to that of any other academic essay. It should consist of an introduction, body paragraphs, and a conclusion. 

However, the focus of a definition essay is on defining and explaining a particular term or concept. 

In this section, we will discuss the structure of a definition essay in detail.

Introduction 

Get the idea of writing an introduction for a definition essay with this example:

Body Paragraphs

Here is an example of how to craft your definition essay body paragraph:

Types of the Term/Concept 

If applicable, the writer may want to include a section that discusses the different types or categories of the term or concept being defined. 

This section should explain the similarities and differences between the types, using examples and anecdotes to illustrate the points.

Examples of the Term/Concept in Action 

The writer should also include real-life examples of the term or concept being defined in action. 

This will help the reader better understand the term or concept in context and how it is used in everyday life.

Conclusion 

This example will help you writing a conclusion fo you essay:

Definition Essay Examples

It is important to go through some examples and samples before writing an essay. This is to understand the writing process and structure of the assigned task well.

Following are some examples of definition essays to give our students a better idea of the concept. 

Understanding the Definition Essay

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Beauty Definition Essay

Definition Essay Topics

Selecting the right topic is challenging for other essay types. However, picking a suitable theme for a definition essay is equally tricky yet important. Pick an interesting subject to ensure maximum readership.

If you are facing writer’s block, here is a list of some great definition essay topics for your help. Choose from the list below and draft a compelling essay.

• Authenticity
• Sustainability
• Mindfulness

Here are some more extended definition essay topics:

• Social media addiction
• Ethical implications of gene editing
• Personalized learning in the digital age
• Ecosystem services
• Cultural assimilation versus cultural preservation
• Sustainable fashion
• Gender equality in the workplace
• Financial literacy and its impact on personal finance
• Ethical considerations in artificial intelligence
• Welfare state and social safety nets

Need more topics? Check out this definition essay topics blog!

Definition Essay Writing Tips

Knowing the correct writing procedure is not enough if you are not aware of the essay’s small technicalities. To help students write a definition essay effortlessly, expert writers of CollegeEssay.org have gathered some simple tips.

These easy tips will make your assignment writing phase easy.

• Choose an exciting yet informative topic for your essay.
• When selecting the word, concept, or term for your essay, make sure you have the knowledge.
• When consulting a dictionary for the definition, provide proper referencing as there are many choices available.
• To make the essay informative and credible, always provide the origin and history of the term.
• Highlight different meanings and interpretations of the term.
• Discuss the transitions and evolution in the meaning of the term in any.
• Provide your perspective and point of view on the chosen term.

Following these tips will guarantee you better grades in your academics.

By following the step-by-step approach explained in this guide, you will acquire the skills to craft an outstanding essay. 

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Barbara P (Literature, Marketing)

Barbara is a highly educated and qualified author with a Ph.D. in public health from an Ivy League university. She has spent a significant amount of time working in the medical field, conducting a thorough study on a variety of health issues. Her work has been published in several major publications.

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