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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 6
•
Chapter 1
Introduction to SQL Indexing and Its Types
Summary
No summary available for this chapter.
Concept Check
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In a clustered index, what does the leaf node contain?
Only pointers to data rows
Actual data rows sorted by index key
Intermediate level pointers
Actual data rows sorted by index key
How many operations are needed to find EmployeeId 1120 using clustered index?
One operation directly
Three operations via B-Tree
Five operations sequentially
Three operations via B-Tree
What structure organizes data in a clustered index?
Linear array of rows
B-Tree with sorted leaf nodes
B-Tree with sorted leaf nodes
Hash table for quick access
For an Employees table, what index is on the primary key?
Clustered index by default
Clustered index by default
Non-clustered index
Composite index
What do intermediate nodes in a clustered index contain?
Only root pointers
Full data rows
Key values and pointers
Key values and pointers
5 questions remaining
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Real-World Project: Optimizing a Large-Scale Database