DataEngineerBootcamp

Amazing Data Engineering books to read

• 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