Get Started with SQL: A Comprehensive Introduction

Get Started with SQL: A Comprehensive Introduction


2 min read

Introduction to SQL

SQL stands for Structured Query Language and is used for managing relational databases. SQL allows users to create, update, delete, and retrieve data from databases. SQL is used in many different industries such as finance, healthcare, and e-commerce.

History of SQL

SQL was developed in the 1970s by IBM researchers Donald Chamberlin and Raymond Boyce. The language was originally called SEQUEL (Structured English QUEry Language) but was later changed to SQL (pronounced "sequel") for legal reasons.

In the early days of relational databases, SQL was used mainly as a data retrieval language, allowing users to extract data from databases. However, as databases became more complex and powerful, SQL grew in functionality and became a full-fledged programming language for managing relational databases.

In the 1980s and 1990s, SQL became the de facto standard for managing relational databases, and many different database management systems began to support the language. Today, SQL is used in a wide range of applications and industries, and is supported by many different database management systems, including Oracle, Microsoft SQL Server, MySQL, and PostgreSQL, among others.

SQL has continued to evolve and grow over the years, with new features and functionality being added to the language on a regular basis. Despite its age, SQL remains one of the most widely used and important programming languages in the world of data management and analysis.

SQL Commands

Here are some basic SQL commands:

  1. SELECT - retrieves data from a database

  2. INSERT - adds data to a database

  3. UPDATE - modifies data in a database

  4. DELETE - removes data from a database

  5. CREATE - creates a new database object such as a table or index

  6. DROP - deletes a database object such as a table or index

SQL also allows for the use of clauses and functions to filter and manipulate data. Some examples include:

  1. WHERE - filters data based on a condition

  2. ORDER BY - sorts data in ascending or descending order

  3. GROUP BY - groups data by a specified column

  4. COUNT - counts the number of rows in a table

  5. SUM - calculates the sum of values in a column

SQL is a powerful tool for managing and analyzing data, and is widely used in the field of data analytics and business intelligence.

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