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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 7
•
Chapter 1
Integrating SQL with External Data Sources
Summary
No summary available for this chapter.
Concept Check
0/5
In ETL processes, how does SQL integrate external data sources into a data warehouse?
Using SELECT queries for extraction
Through UPDATE commands alone
Via INSERT statements only
With DELETE operations primarily
What SQL mechanism is essential for transforming data from external sources in ETL?
JOIN operations on tables
Basic WHERE clauses
GROUP BY aggregations
Simple SELECT statements
When integrating SQL with external databases via ETL, what ensures data consistency?
Transactions and commits
Indexes and keys
Views and schemas
Triggers and procedures
In SQL-based ETL for data warehouses, how are external data sources linked?
Through linked servers
Direct table imports
Manual data copies
API calls only
What advanced SQL feature aids in integrating diverse external data sources during ETL?
Common Table Expressions
Standard joins
Basic subqueries
Simple unions
5 questions remaining
Next
Real-World Project: Building an Integrated SQL Application