10 Things I Learned from Reading Fundamentals of Data Engineering
<p>After two enriching years as a Data Engineer, I finally had the chance to dive into <a href="https://www.oreilly.com/library/view/fundamentals-of-data/9781098108298/" rel="noopener ugc nofollow" target="_blank"><em>Fundamentals of Data Engineering</em></a> written by the insightful minds of Joe Reis and Matt Housley.</p>
<p>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.</p>
<p>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.</p>
<h2><strong>What this book is about?</strong></h2>
<p><em>Fundamentals of Data Engineering</em> 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.</p>
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