Delivering data for analytics, machine learning, and business intelligence. The Six "Undercurrents"
Ensuring data governance, modeling, and integrity. DataOps: Monitoring, observability, and incident reporting.
Applying coding best practices, testing, and design patterns. Why This Book is Essential Fundamentals of Data Engineering by Joe Reis PDF
Understanding source systems and how data is created.
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
Choosing appropriate storage abstractions (e.g., Data Lakes, Data Warehouses). Ingestion: Moving data from sources into storage.
The book emphasizes that data engineering isn't just about the lifecycle stages; it also requires managing six "undercurrents" that run through every project: By focusing on first principles, the book helps
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
Evaluating trade-offs and designing for agility and scalability. Orchestration: Scheduling and managing complex workflows.