Sql Server Part3- Advance Level

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!  ”

Overview

Section 1: Introduction

Lecture 1 INNER JOIN

Lecture 2 LEFT JOIN

Lecture 3 RIGHT JOIN

Lecture 4 FULL JOIN

Lecture 5 CROSS JOIN

Lecture 6 SQL Project -Non Matching IDs | Union All | Derived Table Concept

Lecture 7 SQL Project - Union All Rules And How to Solve Derived Table

Lecture 8 Nested Joins - Its Awesome

Lecture 9 SQL SelfJoin Find Reporting Manager Project1

Lecture 10 SQL Self Join Reporting Manager Consecutively Thrice Project2

Lecture 11 Derived Table - Audience more Than 50k Consecutively Thrice Project3

Lecture 12 SQL Joins Between Queries

Lecture 13 SQL Joins behaviour with Minus Plus - Fundamentals

Lecture 14 A project for you

Business Analysts, Professionals who want to handle large sized datasets using SQL