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Sql Intro — Free Sql Tutorial

Learn Sql Intro in Sql with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.

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TL;DR: Learn Sql Intro in Sql with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.

Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated Jul 14, 2026

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Sql Intro in Sql

SQL (Structured Query Language) is the standard language for managing relational databases and querying data. It lets you create tables, insert data, query records, update values, delete data, and manage entire databases. Every major company — banks, hospitals, e-commerce platforms, social media sites, and government systems — uses SQL to store and retrieve data. SQL is essential infrastructure.

Donald Chamberlin and Raymond Boyce created SQL in 1974 at IBM as "SEQUEL" (Structured English Query Language) for managing relational databases. IBM released SQL/DS in 1981, and it became the ANSI/ISO standard in 1986. SQL's declarative nature (describing what you want, not how to get it) was revolutionary. PostgreSQL (1989) and MySQL (1995) made SQL accessible to all developers.

SQL evolved from a database query language to the foundation of modern data systems. Early SQL (1970s–1980s) was limited to basic queries, SQL-92 (1992) standardized core functionality, and modern SQL (2003+) added advanced features like window functions, CTEs (Common Table Expressions), and JSON support. NoSQL challenged SQL's dominance, but relational databases remain the backbone of most applications.

SQL powers MySQL (most popular, used by WordPress, Facebook, Twitter), PostgreSQL (enterprise-grade, used by Spotify, Instagram), SQLite (every Android/iOS device), Microsoft SQL Server (Windows/Azure), Oracle (banking/finance). Popular database tools: Stripe and Shopify use PostgreSQL, MongoDB uses SQL-like queries, and data warehouses (Snowflake, BigQuery) use SQL variants.

In India, SQL is critical

Sql Intro — Syntax

-- Comments in SQL use --
SELECT column FROM table;   -- read data
INSERT INTO table VALUES;   -- add data
UPDATE table SET col=val;   -- modify
DELETE FROM table;          -- remove

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