CourseGenix
Explore
Toggle theme
Sign In
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 1
•
Chapter 2
Executing Simple SELECT Queries
Summary
No summary available for this chapter.
Concept Check
0/5
What is the primary use of SELECT queries as described?
Deleting existing data.
Selecting data from tables.
Selecting data from database tables.
Creating new databases.
Why might SQL queries be necessary in BI tools?
To filter and aggregate data.
To filter and aggregate data efficiently.
To create dashboards instantly.
For graphical interfaces only.
In the transcript, what tool is used for querying?
FIFA game interface.
SQL Server directly.
Navicat for database connections.
Navicat for querying.
How does creating a view help with large datasets?
Reduces data to process.
Slows down analysis.
Increases database size.
Reduces data processed for efficiency.
What clause filters rows in a SELECT query?
The WHERE clause for conditions.
The WHERE clause.
The SELECT clause.
The FROM clause.
5 questions remaining
Previous
Introduction to SQL Syntax and Data Types
Next
Inserting, Updating, and Deleting Data Basics