Evaluating trade-offs and designing for agility and scalability. Orchestration: Scheduling and managing complex workflows.
The book emphasizes that data engineering isn't just about the lifecycle stages; it also requires managing six "undercurrents" that run through every project:
Delivering data for analytics, machine learning, and business intelligence. The Six "Undercurrents" Fundamentals of Data Engineering by Joe Reis PDF
Fundamentals of Data Engineering by Joe Reis and Matt Housley is widely regarded as the "prequel" to the technical deep-dive of Designing Data-Intensive Applications . Published by O'Reilly Media in 2022, this book provides a technology-agnostic framework for building robust, scalable data systems in the modern cloud era. Core Concept: The Data Engineering Lifecycle
Ensuring data governance, modeling, and integrity. DataOps: Monitoring, observability, and incident reporting. The Six "Undercurrents" Fundamentals of Data Engineering by
Reis and Housley wrote the book to address the "curse of familiarity," where engineers use familiar tools for the wrong tasks. By focusing on first principles, the book helps practitioners:
Applying coding best practices, testing, and design patterns. Why This Book is Essential DataOps: Monitoring, observability, and incident reporting
Managing access control and protecting sensitive information.