Fundamentals of Data Engineering by Joe Reis and Matt Housley is a comprehensive guide to the principles, best practices, and real-world strategies for designing, building, and maintaining scalable and reliable data systems. It provides an end-to-end framework that covers data collection, storage, processing, and analytics, making it an essential resource for data engineers, analysts, and architects.

The book emphasizes a practical and modern approach to data engineering, focusing on batch and streaming architectures, data pipelines, cloud-native solutions, and data governance. It also highlights the importance of data quality, scalability, and security, ensuring that professionals can build robust and future-proof systems.

Why Read This Book

• Learn data engineering fundamentals and how to design scalable architectures.
• Understand batch vs. streaming data pipelines and how to choose the right approach.
• Explore cloud-native data solutions, including AWS, Azure, and Google Cloud.
• Gain insights into data governance, security, and quality best practices.
• Written by Joe Reis and Matt Housley, experts in data engineering and analytics.

About the Authors

Joe Reis is a data engineer, entrepreneur, and educator with deep expertise in data architecture, analytics, and machine learning. He has worked with leading tech firms and co-founded a data consultancy firm, where he helps businesses build efficient data infrastructure.

Matt Housley is a data scientist, cloud architect, and data engineering expert specializing in big data, distributed systems, and cloud computing. He has helped numerous companies design and implement high-performance data solutions.