SQL Server in Hindi - Basics - Part1

Learn SQL Server with this comprehensive course, presented in HINDI! This practical guide covers everything you need to know to get started with database management.

• SQL Server Installation: Follow these simple steps to install SQL Server Developer Edition or SQL Server Express Edition from Microsoft. We'll walk you through configuring the setup, including choosing the appropriate authentication mode. Then, install SQL Server Management Studio (SSMS), the essential tool for interacting with your database. Learn how to connect to your SQL Server instance using SSMS and begin managing your data.

• SSMS Installation (SQL Server Management Studio): SSMS provides a visual interface for managing your SQL Server databases. Download the latest version from the Microsoft website and install it. Use SSMS to effortlessly create, modify, and execute SQL queries.

• SELECT Query: Master the fundamental SELECT query to retrieve data from one or more tables. Understand the basic syntax: SELECT column1, column2 FROM table_name;. Learn how to retrieve all columns using SELECT * FROM table_name;. Improve readability with aliases using AS: SELECT column1 AS NewName FROM table_name;.

• ORDER BY Clause: Sort your query results using the ORDER BY clause. Sort in ascending order (ASC, the default) or descending order (DESC). Example: SELECT * FROM Employees ORDER BY Salary DESC;. Learn to sort by multiple columns: ORDER BY Department ASC, Salary DESC;. Understand how NULL values are handled in sorting.

• WHERE Clause: Filter your data with the WHERE clause. Use operators like =, !=, <, >, <=, >=, BETWEEN, LIKE, IN, and NOT IN to define conditions. Example: SELECT * FROM Employees WHERE Salary > 50000;. Combine multiple conditions using AND, OR, and NOT.

• HAVING Clause: Filter aggregated results using the HAVING clause. Understand the difference between WHERE (filtering individual rows) and HAVING (filtering grouped results).

• GROUP BY Clause: Group rows with the same values into summary rows using the GROUP BY clause. This is essential when using aggregate functions. Example: SELECT Department, AVG(Salary) FROM Employees GROUP BY Department;.

• Aggregation Calculations: Summarize data using powerful aggregation functions: SUM(), AVG(), COUNT(), MIN(), and MAX().

• OVER Clause with Partition: Utilize the OVER clause with window functions to perform calculations like rankings and running totals without collapsing rows.