Fundamentals of Data Engineering: Plan and Build Robust Data Systems

About the Book – Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering by Joe Reis and Matt Housley is a comprehensive guide to understanding the principles, technologies, and practices behind modern data engineering. The book explains how organisations collect, transform, store, manage, and deliver data to support analytics, business intelligence, and data-driven decision-making.

The authors introduce the complete data engineering lifecycle, helping readers understand how different technologies and processes work together to create reliable, scalable, and efficient data systems. From designing data architectures to selecting cloud platforms and managing data pipelines, the book offers practical insights into the challenges faced by modern data professionals.

What You Will Learn:

• Understand the fundamentals of data engineering and its role in modern businesses.
• Explore the complete data engineering lifecycle.
• Learn about data generation, ingestion, and transformation.
• Understand data storage systems and data architecture.
• Explore batch processing and streaming data systems.
• Learn about cloud computing and modern data platforms.
• Understand data orchestration, governance, and security.
• Design scalable, reliable, and efficient data infrastructure.

Who Is This Book For?

• Aspiring and professional data engineers.
• Software developers and engineers.
• Data scientists and data analysts.
• Database administrators and architects.
• Cloud computing professionals.
• IT and computer science students.
• Technology leaders and business professionals.

Why Read This Book?

Fundamentals of Data Engineering provides an end-to-end understanding of how modern data systems are designed, developed, and maintained. Its practical explanations and technology-focused approach make it a valuable resource for readers who want to strengthen their technical knowledge and build a career in data engineering.

An essential guide for anyone looking to understand modern data infrastructure and develop the skills to build robust, scalable data systems.

About the Authors – Joe Reis & Matt Housley

Joe Reis is a renowned data engineering expert, entrepreneur, author, and educator with approximately 20 years of experience in the data industry. His professional background spans statistical modelling, forecasting, machine learning, data engineering, and data architecture. He is the co-founder and CEO of Ternary Data, a data engineering and architecture consulting firm. Joe also teaches at the University of Utah and shares industry knowledge through podcasts, professional communities, and educational programmes.

Matt Housley, PhD, is a data engineering consultant, cloud specialist, and technology educator. He holds a PhD in Mathematics from the University of Utah and has a professional background in mathematics, data science, and cloud-based data engineering. His expertise includes designing reliable data architectures, developing cloud data systems, and helping organisations build effective data engineering teams.

Together, Joe Reis and Matt Housley combine their technical expertise and industry experience to make complex data engineering concepts easier to understand. Their work focuses on helping professionals design scalable, reliable, and efficient data systems.