What is SQL Full Form in Database?

SQL stands for “Structured Query Language” that pronounced as ‘S-Q-L’ otherwise as ‘See-Quel’. SQL is a standard scripting language that making deal with the relational database. It can be utilized to search, insert, update, and delete database record.

SQL Brief History

• 1970: Dr. Edgar F. “Ted” Codd explained a relational model for databases.
• 1974: Structured Query Language appeared.
• 1978: IBM introduced a product called System/R.
• 1986: IBM designed the prototype of a relational database that is standardized by ANSI.
• 1989: First ever version launched of SQL
• 1999: SQL 3 released with features like triggers, object-orientation, etc.
• SQL 2003: window functions, XML-related features, and so on.
• SQL 2006: Supportable for XML Query Language
• SQL 2011: Enhanced support for temporal databases

What is SQL Used For?

Causes of many reasons, users are going to use SQL like as:

Also Read: 20 Advantages and Disadvantages of SQL | Features & Benefits

• SQL allows users to get access in the RDBMS (Relational Database Management Systems).

• It helps users to explain the data.

• It allows users to make and drop a database and table as well.

• Users are capable to set permission on the tables, procedures and views.

• It also lets users to create, view, stored procedure, and function in the database.

• SQL allows to get embed along with the other languages by using SQL modules, libraries and pre-compliers.

• SQL allows users to define a data into a database and manipulate certain data.

Uses of SQL (Structured Query Language)

There are numerous uses of Structured Query Language (SQL), although the most frequency of these uses might be change depend upon your certain career. Therefore, here we are going to cover plenty dynamic uses of SQL database in detail; below mentioned each one, you can check them:

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Management of Relational Database:

As a history, the relational database was defined firstly by scientist Edgar F. Codd, in 1969. After that, in 1970, a program was designed to keep maintain a relational model by using the SQL language. This code was represented as a Relational Database Management System (RDBMS). In which, all data is kept store in row that known as ‘Tuples’ that are grouped into a relations. The major reason of using the SQL is to perform specific tasks into form of queries.

Performing Few Basic Database Operations:

SQL (Structured Query Language) allows to help execute lots of commands, which assist us to perform many operations into a database. They are classified into four segments like as:

Data Definition Language (DDL): SQL allows to keep manage a database and tables, then perform specific operations such as  CREATE, DROP, RENAME, ALTER, TRUNCATE, and COMMENT.

Data Query Language (DQL): This is going to use for retrieving the data from a databases. Mostly, SELECT command is used to execute this operation.

Data Manipulation Language: This represent to SQL commands utilize to the manipulate data and perform complex operations on a database like as INSERT, UPDATE, and DELETE.

Data Control Language: This represents to SQL control commands that are granted users permission otherwise to execute specific operations, for example – the control command is ‘REVOKE’ that revokes the getting to access permission provided to users.

Accepting Database Transaction Control:

SQL (Structured Query Language) is also going to use keep managing the transaction related to the databases. It allows some basic rules to handle consistency in the database. These rules for ACID properties to a database. This transaction has only two results success otherwise failure. There are used few common statements like as COMMIT, ROLLBACK, TRANSACTION, SAVEPOINT, etc.

Procedures, User-defined Functions, Triggers, and Indexes:

We are able to write the procedure, user-defined functions, triggers, indexes, and cursor as per the needs that is nothing; but these SQL commands to make your work easiest to meet the business needs.

Execution of SQL UNION:

UNION operator is used to merge two different sets into a single set along with distinct values in it. Then, UNION lets you to offers a single result by using two distinct separate SELECT statements. UNION of two tables provides the distinct attributes available into both tables.

Execution of SQL JOIN:

A SQL JOIN operator is uses to merge data from two sets of data.

• (INNER) JOIN: To return matching values in both tables as a result.
• LEFT (OUTER) JOIN: To return all record of the remain table and matching records of the right table as a result.
• RIGHT (OUTER) JOIN: It helps to return all record of the right table and the matching records of the remain table as the result.
• FULL (OUTER) JOIN: To return all record, if there is a match in either of the table left otherwise right.

SQL Wildcards:

A wildcard character is a especial character in SQL that are going to use for substituting any other character in a string.

SQL Wildcard Operators: ‘%’ and ‘_’

‘%’ : Refers to Zero, One, and Multiple characters

‘- ‘ : Refers to a single character

Reporting Purpose:

SQL (Structured Query Language) plays vital role from report perspective that each project have. Users are capable to write query for standalone reports also for the retrieving data for a report.

Manual Analysis:

SQL queries are also most important for analysis, whenever manual interventions are mandatory. With the helping of SQL queries, users are able to filter out the mandatory data from the structured data and it can be utilized for analysis.

SQL on NTC Hosting for Website:

There are major used of SQL (Structured Query Language) on the interactive websites, which have massive information about users and products as form of a database. Each website is getting to support a database at the backend side. SQL allows you to fetch and store this data. Therefore, each website contains own a database that allows to keep the huge information about own users. Mostly, e-commerce websites, IRCTC, movie booking websites, etc. utilize the query language that is installed in the code to execute many operations on their data and user requirements.

Compatibility and Library Supported:

SQL is most compatible and flexible along with some relational databases such a MS Access, MS SQL server, Oracle databases, MYSQL, and so on. SQL also offers the permission who wants to get access and manipulate that table into the database. As well as, SQL provides the collection of libraries like as SQLite that assist link client web app to the database developer. These libraries are getting support of SQL lets users to work along with clients’ datasets.

Integration to Scripting Languages:

SQL is capable to integrate along with some most popular scripted languages like as R and Phython. This lets SQL to keep manage a database that are getting to support by these scripted languages. Therefore, this is most useful for users like as ML engineers, Data scientists, data analysists, and more, who want to manage huge amount of data simultaneously.

Use for Machine Learning:

Machine learning engineers also keep to manage the enlarge sets of humongous amount data to build an accurate model, because without data Machine Learning doesn’t mean. Google cloud platform BigQuery is a great example of SQL in ML. This platform implements SQL queries and tools to make and execute many ML models. In the simplest way, ML models are getting to invoke on the structured data by using the SQL. So, SQL enables the ML and it makes easy to integration along with other scripting languages for applications, which manage huge amount of data.

Use for Analysts and Data Scientists:

As explored above that scripting language is capable to make integration along with SQL. So, analysts can perform work vast sets of data in the Relational databases for that SQL is most useful as it can keep handle enlarge sets of data along with simple queries. For example – SQL can be used as the ‘Data Filtering’ for this you use ‘WHERE’ clause along with few logical operators and conditions. Apart of this, users are also able to execute other operations such as aggregation, Indexing, Slicing, etc. along with data sets.

Applications of SQL in Real Life

Here, we will explore you about many real time applications of SQL database in detail; below shown SQL applications list, you can check them:

Also Read: 10 Features of NoSQL Database | Characteristics of NoSQL Database

Use of SQL in Medical & Healthcare:

In the healthcare industry, SQL is going to use for analyse the enlarge data sets that contain the information about patient behavior like as their medical issues and demographics. The healthcare data analysis lets the medical professionals to obtain the critical insight, that contributes trends the constructing the certain solution to fix problems.

Use of SQL in the Finance Industry:

All transactional data are getting to keep store into relational databases that can be easily used to find out for either one instance of data or for data that gets match a set of requirement, such as withdrawals over the $6,000 at the last month. SQL is also used by the finance departments to retrieve data, then they are capable to analyse for anomalies and trends. For examples, SQL can be utilized to query the expensive of commodities over the last year, and any unwanted entries that could be flagged for the investigation.

Use of SQL in Social Media:

Some most famous social media platforms like as Facebook, Twitter, Instagram, and Snapchat have a plenty amount of user that utilize an incredible amount of bandwidth daily. Therefore, social media platform’s users are going to share their posts and images, which need the databases to constantly modify information and show to millions of users at once. These platforms also have the personal detail of the millions of users that can be traced. Cause of this foundation of data collecting, marketers and advertisers now trust on this digital age.

Use of SQL in Music Industry:

The music sector is also going to slowly undergone digitization. Some popular brand Pandora and Spotify use the SQL database to keep store and process data that is getting to relate to user preferences, and it allows to make personalized recommendations from huge libraries of music album and music files by the different artists.

Use of SQL in Marketing:

SQL query language is also going to use into strategizing marketing terms. Some organizations, both tech and not tech are getting to trust on SQL to identify their appropriate customer, learn more about the consumer behavior pattern, as well as getting to analyse the effectiveness of running marketing campaigns.

Use of SQL in Back-End Development:

Back end web developers have responsible to facilitate the integration of databases along with front end software, solving bugs, minimizing the data corruption, then all of which make sure the seamless delivery of applications to end-users. So, the main aim of using the SQL in back ends web development that allows to upgrade, retrieval, and insertion of data.

Use of SQL in Database Administration:

The main purpose of a database administrator is for getting to update a company’s online database and keep maintain its integrity, thus data can rest in a secure environment. So, database administrator of universities, hospitals, any business, and other make use of SQL to grab and process confidential information about the employees, students, and other users without getting any hindrance.

Use of SQL in Analysts and Data Scientists:

The scripting language is capable to make integration along with SQL. So, analysts can perform work vast sets of data in the Relational databases for that SQL is most useful as it can keep handle enlarge sets of data along with simple queries. For example – SQL can be used as the ‘Data Filtering’ for this you use ‘WHERE’ clause along with few logical operators and conditions. Apart of this, users are also able to execute other operations such as aggregation, Indexing, Slicing, etc. along with data sets.

Use of SQL in Structuring the Architecture:

Due to support server-client architecture, software engineers are getting to trust on SQL to build the connection in between the back-end and front-end. As using of SQL as part of third tier architecture involving the client, application, and database is also going to use of SQL database that offers a logical structure to the design architecture.

Use of SQL in Data Science:

SQL is also used by the data scientists to gather and analyse data for predictive analysis, building machine learning models, reporting, and etc. SQL plays a major role into the data science, because it lets data scientists to get query data and fetch certain sets of related information that means they devote less time consuming through data and more time rendering the outputs.

Characteristics of SQL 

In this section, we are going to cover many characteristics of SQL database in detail; below shown each one, you can check them with ease:

Also Read: 20 Advantages and Disadvantages of SQL | Features & Benefits

Great Performance:

SQL is capable to get retrieve a missive amount of data record from the database with instantly and efficient as comparison to unstructured database like as MongoDB, because it is a relations database that can get classified the data into structured manner. It can execute their operations such as insertion, deletion, querying, manipulation, and calculations in seconds through analytical queries into a relational database.

High Availability:

SQL (Structured Query Language) is getting to support along with many relational database management systems like as MS Access, SAP Adaptive Server, Microsoft SQL Server, Oracle Database, SAP HANA, My SQL, and so on. It is easiest to make an application extension for many procedural languages and other functions. This is extra features that allow to convert SQL into a power tool.

Scalability and Flexibility:

SQL also allows users to great scalability and flexibility for the relational database management system. With helping of SQL, it is most easy to make a new one table while getting to drop or deleting recently made otherwise scantily used tables. SQL is enabled with vertical scaling that means user can enhance the load on the one server by attaching the extra RAM, SSDs, and CPUs.

Better Transactional Support:

SQL is also enabled with another amazing feature that is ‘Transactional Support’. With helping of rich transactional support, SQL programming is capable to keep manage the enlarge records and other numerous transaction.

Great Security:

SQL is a most secured database management system; it is also notable feature, because it is easiest to grant permission on tables, procedures, and views. Therefore, here users can get optimum security for your sensitive data.

Comprehensive Application Development:

SQL is used by numerous programmers to program for getting to access a database. Today, SQL is most suitable database for each small or large scale companies.

SQL’s Management Ease:

Now these days, usually each RDBMS (Relational Database Management System) is getting to utilize with Structured Query Language. There are few most common and standard SQL commands like as Delete, Insert, Select, Update, and “Drop. With helping of these commands, users can easily manage huge amount of data from a database with quickly and efficiently.

Open Source Database System:

SQL is an open-source programming language that allows to build (RDBMS) relational database management systems. Thus, it is great solution for developers who are seeking for a community of professionals to learn from off.

Relational Foundation:

Mostly, the SQL is used for a relational databases, because the relational databases tabular format that servers the intuitive user-interface that it makes the SQL easy to keep learn and use. As well as, a relational model has a sound theoretical foundation that helps to guide the development and implementation of it.

FAQs (Frequently Asked Questions)

What is SQL in DBMS with example?

SQL means “Structured Query Language”; it is standard language that allows users to get access and manipulate databases. SQL makes deal with a user to create, read, update, and delete relational database and tables.

Where is SQL mainly used?

Mostly, SQL is going to use in many business and other kinds of database administration, because SQL is a default tool that is used rot operating on the RDBM to alter tabled data, retrieve data or manipulate the available data set.

What can SQL be used in Excel?

Although Excel is already capable to keep manage the most Excel automation scenarios; as well as, SQL can be also get retrieve and manipulate vital amount of Excel data with smoothly.

What are the practical uses of SQL in real life?

In this post, already we have been explained many sectors; where SQL can be used as efficiently in your daily life; you can check them.

What are the SQL applications examples?

There are many examples, where SQL can be used as applications like as Healthcare, Finance Industry, Social Media platforms, Music Industry, and etc. Each one is explained in detail above in this article.

What are the 10 characteristics of SQL?

There are many characteristics of SQL as follow them:

• Great Performance
• High Availability
• Scalability and Flexibility
• Better Transactional Support
• Easy to learn
• Great Security
• Comprehensive Application Development
• SQL’s Management Ease
• Open Source Database System
• Relational Foundation

Final Remarks

Now, i make sure that you have been fully educated about what is SQL with its applications and characteristics; involving with many uses of SQL in real life with ease. If this article is useful for you, then please share it along with your friends, family members or relatives over social media platforms like as Facebook, Instagram, Linked In, Twitter, and more.

Also Read: 25 Advantages and Disadvantages of NoSQL Database | Pros and Cons

If you have any experience, tips, tricks, or query regarding this issue? You can drop a comment!

Happy Learning!!