# Amazing Data Engineering books to read
- [Fundamentals of Data Engineering](https://www.amazon.com/Fundamentals-Data-Engineering-Robust-Systems/dp/1098108302/)
- [Designing Data-Intensive Applications](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321/)
- [Designing Machine Learning Systems](https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969)
- [The Hundred Page Machine Learning Book](https://www.amazon.com/Hundred-Page-Machine-Learning-Book/dp/199957950X)
- [Kimball - The Data Warehouse Toolkit](https://ia801609.us.archive.org/14/items/the-data-warehouse-toolkit-kimball/The%20Data%20Warehouse%20Toolkit%20-%20Kimball.pdf)
- [Data Mesh](https://www.oreilly.com/library/view/data-mesh/9781492092384/)
- [Machine Learning System Design Interview](https://www.amazon.com/Machine-Learning-System-Design-Interview/dp/1736049127)
- [Streaming Systems](https://www.amazon.com/Streaming-Systems-Where-Large-Scale-Processing/dp/1491983876)
- [High Performance Spark](https://www.amazon.com/High-Performance-Spark-Practices-Optimizing/dp/1491943203)
- [Spark: The Definitive Guide](https://www.oreilly.com/library/view/spark-the-definitive/9781491912201/)
- [Learning Spark](https://www.oreilly.com/library/view/learning-spark/9781449359034/)
- [Building Evolutionary Architectures, 2nd Edition](https://www.oreilly.com/library/view/building-evolutionary-architectures/9781492097532/)
- [Data Management at Scale, 2nd Edition](https://www.oreilly.com/library/view/data-management-at/9781098138851/)
- [Deciphering Data Architectures](https://www.oreilly.com/library/view/deciphering-data-architectures/9781098150754/)
- [97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts](https://www.amazon.com/Things-Every-Data-Engineer-Should/dp/1492062413)
- [Data Governance: The Definitive Guide](https://www.oreilly.com/library/view/data-governance-the/9781492063483/)
- [Trino: The Definitive Guide](https://trino.io/trino-the-definitive-guide.html)
- [Delta Lake: The Definitive Guide](https://www.oreilly.com/library/view/delta-lake-the/9781098151935/)
- [Hadoop: The Definitive Guide](https://www.oreilly.com/library/view/hadoop-the-definitive/9781491901687/)
- [Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications](https://www.amazon.com/Modern-Engineering-Apache-Spark-Hands/dp/1484274512)
- [Data Engineering with dbt: A practical guide to building a dependable data platform with SQL](https://www.amazon.com/Data-Engineering-dbt-cloud-based-dependable-ebook/dp/B0C4LL19G7)
- [Data Engineering with AWS](https://www.oreilly.com/library/view/data-engineering-with/9781804614426/)
- [Practical DataOps: Delivering Agile Date Science at Scale](https://www.amazon.com/Practical-DataOps-Delivering-Agile-Science/dp/1484251032)
- [Data Engineering Design Patterns](https://www.dedp.online/)
- [Snowflake Data Engineering](https://www.manning.com/books/snowflake-data-engineering)
- [Unlocking dbt](https://www.amazon.com/Unlocking-dbt-Design-Transformations-Warehouse/dp/1484296990/)
- [Learning Spark, Second Edition](https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf)
- [Pandas Cookbook, Third Edition](https://www.amazon.com/Pandas-Cookbook-Practical-scientific-exploratory/dp/1836205872)
- [Data Pipelines Pocket Reference](https://www.oreilly.com/library/view/data-pipelines-pocket/9781492087823/)
- [Stream Processing with Apache Flink](https://www.oreilly.com/library/view/stream-processing-with/9781491974285/)
- [Apache Iceberg The Definitive Guide](https://www.oreilly.com/library/view/apache-iceberg-the/9781098148614/)