SQL for Data Engineering (Paperback)
Language: English
Published by Independently Published, 2026
Series: Book 7 of 15 - Data Engineering
- Softcover
- New

Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
US$ 24.99
Quantity: 1 available
Add to basketItem description from seller
Paperback. SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI WorkflowsMost SQL books teach you to write queries. This one teaches you to build systems.If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and want experience beyond simple SELECT statements, this book was written for you.SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand - ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.What you will learn: Advanced querying - joins, CTEs, subqueries, window functions, and analytical SQL patternsData transformation - cleaning, standardisation, safe casting, and deduplication techniquesETL architecture - incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline designWarehouse design - star schemas, dimensional modelling, partitioning, indexing, and materialised viewsPerformance optimisation - EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisationSemi-structured data - JSON and JSONB processing, schema drift handling, and event pipeline patternsCloud platforms - Snowflake, BigQuery, Redshift, and Databricks with practical SQL for eachAI workflows - prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated codeFour industry projects you will build: E-Commerce Analytics WarehouseSaaS Subscription Metrics PlatformBanking Transaction Fraud Monitoring SystemFood Delivery ETL and Operations PipelineEach project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation - designed to go directly into your portfolio.You also get: Integrated interview Q&A in every chapter drawn from real hiring panelsResume bullet points after every chapter and projectA complete career roadmap for aspiring data engineersAppendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798197243744
- Title
- SQL for Data Engineering (Paperback)
- Author
- Masud Mondal
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798197243744
- Series
- Book 7 of 15: Data Engineering
SQL for Data Engineering - ETL, Warehousing, Cloud Platforms & AI Workflows
Most SQL books teach you to write queries. This one teaches you to build systems.
If you know basic SQL but struggle to apply it in production environments, or you are preparing for data engineering interviews and want experience beyond simple SELECT statements, this book was written for you.
SQL for Data Engineering bridges the gap between tutorial SQL and the skills that data engineering roles actually demand — ETL pipelines, warehouse design, query optimization, and the architectural thinking that separates engineers who build reliable data systems from those who only query them.
What you will learn:
- Advanced querying — joins, CTEs, subqueries, window functions, and analytical SQL patterns
- Data transformation — cleaning, standardisation, safe casting, and deduplication techniques
- ETL architecture — incremental loading, staging patterns, Slowly Changing Dimensions, and idempotent pipeline design
- Warehouse design — star schemas, dimensional modelling, partitioning, indexing, and materialised views
- Performance optimisation — EXPLAIN ANALYZE, execution plans, query tuning, and production-grade optimisation
- Semi-structured data — JSON and JSONB processing, schema drift handling, and event pipeline patterns
- Cloud platforms — Snowflake, BigQuery, Redshift, and Databricks with practical SQL for each
- AI workflows — prompt engineering for SQL tasks, AI-assisted debugging, and the risks of generated code
Four industry projects you will build:
- E-Commerce Analytics Warehouse
- SaaS Subscription Metrics Platform
- Banking Transaction Fraud Monitoring System
- Food Delivery ETL and Operations Pipeline
Each project covers a realistic business problem, complete ETL pipeline, warehouse schema, KPI queries, and interview preparation — designed to go directly into your portfolio.
You also get:
- Integrated interview Q&A in every chapter drawn from real hiring panels
- Resume bullet points after every chapter and project
- A complete career roadmap for aspiring data engineers
- Appendices covering SQL functions, data types, troubleshooting, glossary, and a tool landscape guide
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
Shipping rates within U.S.A.
| Item | 6 to 14 business days | 6 to 16 business days |
|---|---|---|
| First item | US$ 0.00 | US$ 0.00 |
Payment methods
Seller's business information
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE U.S.A. 19805
Terms of sale
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Shipping terms
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.