Play Store Application link – SQL in 18 steps – App on Google Play

1. Introduction to SQL

• What is SQL?
• Importance of SQL
• SQL vs NoSQL
• SQL Standards (SQL-92, SQL-99, SQL-2003, SQL-2011)

2. SQL Basics

• SQL Syntax and Commands
• SQL Data Types
  • MySQL Data Types
  • Oracle Data Types
  • PostgreSQL, SQL Server, etc.

3. Database Design and Normalization

• Introduction to Database Design
• Normalization (1NF, 2NF, 3NF, BCNF, 4NF, 5NF)
• Denormalization

4. SQL Data Definition Language (DDL)

• CREATE DATABASE, ALTER DATABASE, DROP DATABASE
• CREATE TABLE, ALTER TABLE, DROP TABLE
  • MySQL vs Oracle syntax differences
• Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
• TRUNCATE TABLE

5. SQL Data Manipulation Language (DML)

• INSERT INTO (Single & Multiple Rows)
• UPDATE (Single & Multiple Columns)
• DELETE
• MERGE (Supported in Oracle, SQL Server)
• Differences in INSERT syntax across databases

6. SQL Data Query Language (DQL)

• SELECT Statement
• WHERE Clause
• ORDER BY
• GROUP BY & HAVING
• DISTINCT
• LIMIT (MySQL) vs ROWNUM (Oracle) vs FETCH FIRST N ROWS

7. SQL Operators

• Arithmetic Operators
• Comparison Operators (=, !=, <, >, <=, >=)
• Logical Operators (AND, OR, NOT)
• Wildcard Operators (LIKE, %, _)
• IN, BETWEEN, EXISTS

8. SQL Joins

• INNER JOIN
• LEFT JOIN
• RIGHT JOIN
• FULL OUTER JOIN (Not supported in MySQL)
• SELF JOIN
• CROSS JOIN
• Differences in join syntax in MySQL vs Oracle vs SQL Server

9. SQL Subqueries

• Single-row subqueries
• Multi-row subqueries
• Correlated subqueries
• EXISTS and NOT EXISTS
• Database-specific variations

10. SQL Views

• Creating and using views
• Updating views
• Dropping views
• Materialized Views (Oracle vs MySQL)

11. SQL Transactions and Concurrency Control

• ACID Properties
• COMMIT, ROLLBACK, SAVEPOINT
• Isolation Levels (READ COMMITTED, SERIALIZABLE, etc.)
• Locks and Deadlocks
• Differences in MySQL (InnoDB) vs Oracle Transactions

12. SQL Indexing and Optimization

• Types of Indexes (B-Tree, Hash, Full-Text)
• Creating and Dropping Indexes
• Query Optimization Techniques
• EXPLAIN (MySQL) vs EXPLAIN PLAN (Oracle)

13. SQL Stored Procedures and Functions

• What are Stored Procedures?
• Creating and Using Stored Procedures
• SQL Functions (Scalar, Aggregate, Table-valued)
• Database-specific variations (PL/SQL in Oracle, T-SQL in SQL Server)

14. SQL Triggers

• BEFORE INSERT, AFTER INSERT
• BEFORE UPDATE, AFTER UPDATE
• BEFORE DELETE, AFTER DELETE
• MySQL vs Oracle Trigger Syntax

15. SQL User Management and Security

• Creating and Managing Users
• Granting and Revoking Permissions (GRANT, REVOKE)
• Roles and Privileges
• Database-specific variations

16. SQL Backup and Restore

• mysqldump (MySQL)
• EXP/IMP, DATAPUMP (Oracle)
• pg_dump (PostgreSQL)
• Backup and Recovery Strategies

17. Advanced SQL Concepts

• Common Table Expressions (WITH)
• Recursive Queries
• PIVOT and UNPIVOT (SQL Server, Oracle)
• Window Functions (RANK(), DENSE_RANK(), ROW_NUMBER())

18. SQL for Big Data and Cloud

• SQL in Hadoop (HiveQL)
• Cloud Databases (AWS RDS, Azure SQL, Google Cloud SQL)
• Differences in SQL usage on Cloud Platforms