Tuesday, February 18, 2025

What is Difference between Clustered vs Non-Clustered Indexes in a table? [SQL Interview Question]

Hello guys, what is he difference between Clustered and Non-clustered index in a relational database is one of the most popular SQL interview questions almost as popular as the primary key vs unique key, the difference between truncate and delete, and correlated vs noncorrelated subqueries. Indexes are a very important concept, it makes your queries run fast and if you compare a SELECT query which uses an indexed column to one who doesn't you will see a big difference in performance.

Thursday, February 13, 2025

Top 10 SQL Server Functions Programmer Should Learn (with Examples)

Hey there! SQL Server functions are like magic spells in the enchanted forest of databases. They can transform your data and make it dance to your tune. In this article, I'm going to share my top 10 SQL Server functions that every programmer should have in their toolkit.

How to use rank, row_number, and dense_rank in SQL? Example

 Hey folks, ever found yourself at a data party, trying to figure out the pecking order? Well, I've been there too, and SQL has some nifty moves to help you out. Today, I'm going to show you how to use RANK, ROW_NUMBER, and DENSE_RANK in SQL to sort and analyze your data like a pro.

10 SQL commands every Programmer should learn

Hey there! If you're diving into the world of databases, SQL (Structured Query Language) is your golden ticket to handle and manipulate data. It's like learning the secret handshake to the programming club. In this article, I'll share the top 10 SQL commands that every programmer should have in their toolbox.

Saturday, February 8, 2025

Difference between CHAR and VARCHAR in SQL

Hey, folks! Today, we're diving into the fascinating world of SQL data types, specifically, the showdown between CHAR and VARCHAR. It's a bit like choosing between a sturdy old book (CHAR) and a flexible e-reader (VARCHAR). So, grab your virtual coffee, and let's unravel the mystery behind these two SQL heavyweights.