SQL Online Training In Hyderabad

Use SELECT to query data

Apply filters with WHERE clause

Sort results using ORDER BY

Use DISTINCT to remove duplicates

Apply logical operators (AND, OR, NOT)

Handle NULL values in queries

Insert data into tables using INSERT

Update existing records using UPDATE

Delete data using DELETE

Understand transactions and rollbacks

Use COMMIT and ROLLBACK for control

Ensure data integrity during DML operations

Create tables using CREATE TABLE

Alter table structures with ALTER TABLE

Delete tables using DROP TABLE

Define constraints (PRIMARY, FOREIGN KEY, etc.)

Understand data types and column definitions

Rename and modify existing tables

Perform INNER JOIN to combine data

Use LEFT, RIGHT, and FULL JOIN

Create self joins for hierarchical data

Use multiple joins in a single query

Understand primary and foreign key relations

Avoid common join errors

Use string functions (CONCAT, SUBSTRING, etc.)

Work with numeric functions (ROUND, CEIL, etc.)

Apply date functions (NOW, DATEDIFF, etc.)

Use aggregate functions (SUM, AVG, COUNT)

Group results using GROUP BY

Filter groups with HAVING clause

Write single-row and multiple-row subqueries

Understand correlated subqueries

Use subqueries in SELECT, WHERE, and FROM clauses

Apply IN, EXISTS, and ANY operators

Nest queries for complex logic

Optimize subquery performance

Create and use views for simplified queries

Understand benefits of views for security and abstraction

Modify and delete existing views

Learn the concept of indexing for speed

Create indexes on tables

Know when and where to use indexes

Create and execute stored procedures

Use parameters in procedures

Create and manage database triggers

Automate tasks using triggers

Use control-of-flow statements in procedures

Debug and modify procedures

Analyze execution plans

Optimize queries for better performance

Use indexing and partitioning techniques

Avoid common performance issues

Maintain clean and normalized databases

Apply security and user roles in SQL