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SQL

7 Units30 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 7•Chapter 3

Using Triggers and Stored Procedures for Automation

Summary

The main topic explores key concepts in AI technology, including its evolution, applications in daily life, and potential future developments. It covers core principles like machine learning algorithms, data processing techniques, and ethical considerations in AI deployment. Examples highlight practical uses in industries such as healthcare and automation, emphasizing benefits and challenges for users.

Concept Check

0/5

What is the main difference between a trigger and a stored procedure in database automation?

How do stored procedures enhance automation in databases?

In what situation might a trigger cause unintended recursion?

Why are stored procedures preferred for complex automation tasks?

What security benefit do stored procedures offer in automation?

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