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SQL
7 Units
30 Lessons
Unit 1
Basics
Introduction to SQL Syntax and Data Types
Executing Simple SELECT Queries
Inserting, Updating, and Deleting Data Basics
Real-World Project: Building a Simple Inventory Database
Unit 2
Advanced Query Techniques
Using Aggregations and Grouping Functions
Advanced String and Date Manipulation Functions
Working with Common Table Expressions (CTEs)
Implementing Window Functions for Data Analysis
Real-World Project: Analyzing Sales Data with Advanced Queries
Unit 3
Joins and Subqueries
Understanding Inner and Outer Joins
Using Subqueries in SELECT Statements
Nesting Subqueries in WHERE and FROM Clauses
Exploring Self-Joins and Cross Joins
Real-World Project: Merging Data from Multiple Tables
Unit 4
Database Design and Normalization
Fundamentals of Database Design Principles
Applying First, Second, and Third Normal Forms
Real-World Project: Designing and Normalizing a Relational Database
Advanced Normalization Techniques like BCNF
Unit 5
Transactions and Concurrency Control
Basics of SQL Transactions and ACID Properties
Implementing Commit, Rollback, and Savepoints
Concurrency Control with Locking Mechanisms
Real-World Project: Managing Transactions in a Banking System
Unit 6
Indexing and Performance Optimization
Introduction to SQL Indexing and Its Types
Real-World Project: Optimizing a Large-Scale Database
Query Optimization Techniques and Execution Plans
Creating and Managing Indexes for Query Speed
Unit 7
Advanced Topics in SQL Integration
Integrating SQL with External Data Sources
Real-World Project: Building an Integrated SQL Application
Using Triggers and Stored Procedures for Automation
Views and Materialized Views in Complex Systems
Unit 3
•
Chapter 5
Real-World Project: Merging Data from Multiple Tables
Summary
No summary available for this chapter.
Concept Check
0/5
What does an INNER JOIN in MySQL return?
All rows from left table
All rows from right table
Only rows with matching values
Only rows with matching values
How does a LEFT JOIN handle unmatched rows?
Excludes them entirely
Includes them with NULL values
Duplicates them
Includes them with NULL values
Which join shows data common to both tables?
Inner join based on keys
Left join
Inner join based on keys
Right join
Why is a transaction with NULL customer ID excluded?
Database error occurred
It's in customers table
No matching customer record
No matching customer record
What is the role of the ON clause in joins?
Defines the join condition
Selects columns
Defines the join condition
Filters final results
5 questions remaining
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Exploring Self-Joins and Cross Joins