Modern ETL Testing with AI: SQL, Python & AI for Real-World Data Validation: 1 - Softcover

Mondal, Masud

9798181826137: Modern ETL Testing with AI: SQL, Python & AI for Real-World Data Validation: 1

Softcover

ISBN 13: 9798181826137

Publisher: Independently published, 2026

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Modern ETL Testing with AI

SQL, Python & AI for Real-World Data Validation

Modern ETL Testing Series – Volume 1

Are you looking to start a career in ETL Testing or upgrade your skills with SQL, Python, and AI?

Do you find traditional ETL books too theoretical and difficult to follow?

Modern ETL Testing with AI – Volume 1 is a beginner-friendly, practical guide designed to help you learn ETL testing step by step using simple language, real-world examples, and hands-on projects.

Instead of overwhelming you with theory, this book focuses on what ETL testers actually do in real projects—validating data, writing SQL queries, automating checks with Python, and using AI tools to work faster and smarter.

What You'll Learn

Understand ETL architecture and data flow from source systems to data warehouses

Master SQL fundamentals for ETL testing, including:

SELECT, WHERE, GROUP BY, ORDER BY
INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN
Aggregations and reconciliation queries
Practical data validation techniques

Learn Python for ETL testing:

pandas basics
Database connectivity
Automated validation scripts
PASS/FAIL reporting

Explore Data Warehouse concepts:

Fact and Dimension tables
Star Schema
Slowly Changing Dimensions (SCD)

Perform common ETL validations:

Row count validation
Null value validation
Duplicate record checks
Aggregate validation
Source-to-target reconciliation

Discover how AI can assist ETL testers:

Generate SQL queries
Create Python scripts
Write test cases
Analyze validation failures
Use ChatGPT, Claude, and Gemini effectively

Understand modern Cloud ETL architecture and industry trends

Build confidence with two real-world projects:

Banking ETL Testing Project
Insurance ETL Testing Project

Why This Book Is Different

Unlike many ETL books that focus heavily on concepts, this book emphasizes:
Simple explanations with minimal jargon
Practical SQL and Python examples
AI-assisted testing techniques
Real enterprise scenarios
Interview-oriented insights
Beginner to intermediate learning path

Who Should Read This Book?

This book is ideal for:

Beginners starting their ETL Testing journey
QA Engineers transitioning to Data Testing
Manual Testers learning automation
Automation Testers exploring ETL and Data Quality
Freshers preparing for ETL Testing interviews
Professionals interested in AI-powered testing

Modern ETL Testing Series

This book is Volume 1 of the Modern ETL Testing Series, a practical series that teaches ETL testing using modern technologies and real-world examples.

Upcoming volumes cover: