DAY - 04 | SET- 0.2 || 30 Days of SQL Interview Questions Series DATE : 2025-05-02 | SET 02 #sql

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**"Welcome to Day 04 SET - 02 of the ultimate 30-day SQL Interview Questions Series 2025! 🚀

DAY - 04 :: SET- 0.2 || DATE :- 2025-05-02

If you're preparing for your dream job in tech or simply want to sharpen your SQL skills, you've come to the right place. This series is designed to transform your understanding of SQL from the basics to the advanced, equipping you with the tools and confidence to ace your interviews.
In today's episode, we dive into foundational concepts that form the bedrock of SQL. Whether you're a beginner or a seasoned professional, these insights will set the tone for an enriching learning journey. You'll not only learn how to write efficient queries but also understand the WHY behind them, helping you think like a true database expert.
Each day, we’ll cover unique interview-grade SQL questions, complete with explanations, best practices, and tips to handle real-world database challenges. With this structured approach, you'll build skills step-by-step and gain clarity on even the most tricky SQL problems.
Join me as we embark on this transformative journey together. Don't forget to like, comment, and subscribe to stay updated with the series and share this with fellow learners in your network. Let's conquer SQL interviews and make 2025 your breakthrough year! 💻✨
📌 Key Highlights of the Series:
- 30 Days of Comprehensive SQL Interview Questions
- Daily videos packed with explanations and tips
- Real-world examples and insights from the industry
- Perfect for beginners, job seekers, and developers

Hit that play button and let’s level up your SQL game today! See you in the comments. 🙌"**

SQL Interview Questions Series 2025 - Day 04 SET - 02 Time Stamps
0:00 - Introduction to DAY - 04 || SET - 0.1 || 30 Days SQL Interview Series .
0:39 - Using ROW_NUMBER() to Assign a Rank .
03:39 - Using RANK() for Salary Rankings .
06:29 - Using DENSE_RANK() .
09:10 - Using LAG() to Compare Salaries.

Important Keywords for this video
Using ROW_NUMBER() to Assign a Rank
Using RANK() for Salary Rankings
Using DENSE_RANK()
Using LAG() to Compare Salaries
Using LEAD() to See Next Salary
Using SUM() as a Window Function
Using AVG() to Find Moving Average
Using FIRST_VALUE()
Using LAST_VALUE()
Using NTILE()
Creating a Clustered Index
Creating a Non-Clustered Index
CREATE UNIQUE INDEX
locator points
Clustered Index
Non-Clustered Index
Unique Index
Filtered Index
Full-Text Index
XML Index
Spatial Index
Faster Data Retrieval
Efficient Sorting
Optimized Joins
Better Filtering
Reduced I/O Operations
Clustered Indexes
Non Clustered Index
ROW Number
Windows Function
Subqueries
INDEX
Employee With No Manager
Self Join
Join in SQL
Outer Join in SQL
Left Outer Join in SQL
Right Outer Join in SQL
Date and Time function
With Schema binding
Indexed Views
Materialized View
With Encryption
Data Cleaning
System Stored Procedures
SQL Interview Series
SQL Interview 30 Days practice series
Data Cleaning
delete duplicate rows in a Table
limitations of a View
nesting views
SQL Server 2005
View
virtual table
Standard Views
Indexed Views
Materialized Views
Partitioned Views
System Views
Catalog Views
Rank
Dense rank
Date and time functions

Our SQL Index Video :-

Our Date and Time Functions Video :-

Previous Videos Of 30 Days SQL Interview Question Series :-

#windows #functions
#cluster #index #sqlserver
#sql #sqlinterview #sqlquestions #database #datascience #sqltips
#interview #series #day4 #set2 #learning #programming
#learn #and #earn #2025
#careergrowth #programming #learntocode2025 #sqltutorialabkcho
#placement #meta #facebook #amazon #google #microsoft #netflix


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