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Udemy – SQL Server Part3– Advance Level

   Author: Baturi   |   30 June 2025   |   Comments icon: 0


Free Download Udemy – SQL Server Part3– Advance Level
Published 5/2025
Created by ajay parmar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 53m ) | Size: 1.36 GB


SQL Server Joins
What you'll learn
Master Table Relationships with Joins
Understand Real-World Scenarios with Nested and Self Joins
Perform Calculations Within Joins
Combine Data Sets with UNION and UNION ALL
Requirements
If you have seen Part1 and Part2, you are ready to go for this part3.
Description
What You Will Learn from This Module on Joins and Advanced Querying:Master Table Relationships with JoinsLearn how INNER, LEFT, RIGHT, and FULL OUTER joins help you connect data across multiple tables and handle matching/non-matching records.Understand Real-World Scenarios with Nested and Self JoinsExplore how to join a table to itself (self join) and use nested joins to handle multi-step relationships—useful for hierarchy or historical data.Perform Calculations Within JoinsDiscover how to add, subtract, or transform fields during joins to create powerful and meaningful query results, such as calculating differences between related rows. Combine Data Sets with UNION and UNION ALLLearn how to merge results from multiple queries into a single output, understanding the difference between UNION (removes duplicates) and UNION ALL (keeps all records).Joins for Real-World Data LinkingMini Use-Case: Fetch customer orders by linking Customers and Orders using INNER JOIN, show all customers with or without orders using LEFT JOIN. "Joins Made Easy!""Link Tables Like a Pro" "LEFT vs RIGHT JOIN: Real Examples" Compare employee salaries with their managers using self join, or pull data across 3+ related tables using nested joins. "Self Join Demystified!" "Nested Joins: Step-by-Step" "Compare the Employees to Managers tables with SQL! "
Who this course is for
Business Analysts, Professionals who want to handle large sized datasets using SQL
Homepage
https://www.udemy.com/course/sql-server-part3-advance-level/



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