- Fundamentals of Data Engineering
- Designing Data-Intensive Applications
- Designing Machine Learning Systems
- The Hundred Page Machine Learning Book
- Kimball - The Data Warehouse Toolkit
- Data Mesh
- Machine Learning System Design Interview
- Streaming Systems
- High Performance Spark
- Spark: The Definitive Guide
- Learning Spark
- Building Evolutionary Architectures, 2nd Edition
- Data Management at Scale, 2nd Edition
- Deciphering Data Architectures
- 97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
- Data Governance: The Definitive Guide
- Trino: The Definitive Guide
- Delta Lake: The Definitive Guide
- Hadoop: The Definitive Guide
- Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications
- Data Engineering with dbt: A practical guide to building a dependable data platform with SQL
- Data Engineering with AWS
- Practical DataOps: Delivering Agile Date Science at Scale
- Data Engineering Design Patterns
- Snowflake Data Engineering
- Unlocking dbt
- Learning Spark, Second Edition
- Pandas Cookbook, Third Edition
- Data Pipelines Pocket Reference
- Stream Processing with Apache Flink
- Apache Iceberg The Definitive Guide
- Python for Data Analysis, 3E