Books of Data Engineering
Below are books related to data engineering.
Starters and general knowledge:
- Patterns of Data Engineering (PoDE) - My partially free online book to get you started :)
- The Data Warehouse Toolkit, Ralph Kimball: February 1996, The guide for data warehouse modeling and still relevant to this day.
- Designing Data-Intensive Applications by Martin Kleppmann
- Fundamentals of Data Engineering, Joe Reis, Matt Housley
Other great ones, more specific:
- Building the Data Warehouse, Bill Inmon
- Data Modeling with Snowflake (Serge Gershkovich), Serge Gershkovich
- The Data Engineering Cookbook, Andreas Kretz
- Data Engineering Patterns on the Cloud, Bartosz Konieczny
- Introduction to Data Engineering, Daniel Beach
- Data With Rust, Karim Jedda
- Data Pipelines Pocket Reference, James Densmore
- DAMA-DMBOK: Data Management Body of Knowledge (DAMA-DMBOK)
- Streaming Systems, Tyler Akidau, Slava Chernyak, Reuven Lax
- High Performance Spark, Holden Karau, Rachel Warren
- Data Pipelines with Apache Airflow
- Fundamentals of Data Observability, Andy Petrella
- Scaling Machine Learning with Spark, Adi Polak
- Deciphering Data Architectures, James Serra (Deciphering Data Architectures (James Serra))
- Architecture Patterns with Python
- Learning Spark, Brooke Wenig, Denny Lee, Tathagata Das, Jules Damji
- The Unified Star Schema. Bill Inmon
- Data Engineering Book by Oleg Agapov : Accumulated knowledge and experience in the field of Data Engineering
- Enterprise Architecture Fundamentals (Rémy Fannader): Using the Pagoda Blueprint for modeling data architectures with five parts: Take a general perspective on enterprise, systems, and frameworks, technical aspects, and new challenges and technologies.A
- Data Engineering Best Practices: Architect robust and cost-effective data solutions in the cloud era. By Richard J. Schiller, David Larochelle
# Others related
- Design Patterns (Erich Gamma, Richard Helm, October 1994, ISBN-10: 0201633612) - The mother of Design Patterns, general use but not dedicated to Data Engineering.
- System Design Interview (Alex Xu, Sahn Lam, Volume 2 March 2022, ISBN-10: 0201633612) - This book seems to be a great general approach to designs and patterns, but it doesn’t include Data Engineering.
# Lists
See also People of Data Engineering, and Data Engineering.
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