SQL Experiments List, Top 12 Practical Tasks for Students

If you’re starting out with databases, hands-on practice is essential. This SQL experiments list is designed for students learning database management systems (DBMS) and relational database concepts. These practical tasks will help reinforce theoretical knowledge with real-world application.


Why Use an SQL Experiments List?

A structured SQL experiments list improves understanding of DDL, DML, aggregate functions, and advanced topics like cursors and triggers. It prepares students for exams, assignments, and future interviews.


SQL Experiments List for Practical Learning

1. Study DDL and DML Commands

Learn how to use CREATE, ALTER, and INSERT commands to define and populate tables.

2. Create Tables and Insert Data

Build sample databases and fill them with mock data for later experiments.

3. Perform Queries with LIKE, BETWEEN, IN

Use these predicates to filter records effectively in your SQL queries.

4. Apply Aggregate Functions and Sorting

Use SUM(), COUNT(), ORDER BY, and other functions to manipulate and display data.

5. Work with Single-Row Functions

Try functions like UPPER(), ROUND(), SYSDATE to transform individual row values.

6. SQL Joins – Display Data from Multiple Tables

Practice INNER JOIN, LEFT JOIN to combine data from two or more tables.

7. Grouping Data Using Group Functions

Use GROUP BY and HAVING to group and filter aggregate results.

8. Solve Queries Using Subqueries

Understand how subqueries can simplify and optimize complex data retrieval.

9. Security and Privileges in SQL

Learn to manage access using GRANT and REVOKE.

10. Transaction Control Commands

Use COMMIT, ROLLBACK, and SAVEPOINT to manage database transactions.

11. Cursor in SQL

Write and manage cursors for row-by-row processing.

12. Trigger Implementation

Create triggers that fire on events like insert, update, or delete.


Conclusion

This structured SQL experiments list is a valuable resource for database learners. By practicing these tasks, you’ll build a strong foundation in SQL and gain the confidence to work with real-world databases.

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