Member-only story
10 Things I Learned from Reading Fundamentals of Data Engineering
After two enriching years as a Data Engineer, I finally had the chance to dive into Fundamentals of Data Engineering written by the insightful minds of Joe Reis and Matt Housley.
Reading this book inspired me to connect my data experience with its theoretical understanding. The book’s ideas made me reflect on my work as a Data Engineer and helped me bridge the gap between theory and practice.
In this blog post, I am excited to share 5 key learnings from this book. I focus on one key aspect from each chapter to keep this blog post informative.
What this book is about?
Fundamentals of Data Engineering is the No. 1 fundamental book that’s recommended by lots of experienced data engineers. It helps a data engineer to understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.
What is Data Engineering (Chapter 1)
Data engineering is the design, implementation, and maintenance of systems and processes that transform raw data into high-quality, consistent information to support subsequent use cases, such as analysis and machine…
