Fundamentals of Data Engineering Book — Key Learning Points

<p>In this post, I will share my key learning points from the &ldquo;<em>Fundamentals of Data Engineering</em>&rdquo; book by Joe Reis and Matt Housley. O&rsquo;Reilly published the book in June 2022. As an aspiring data engineer, I continually seek resources to broaden my understanding and improve my skills. I purchased the book on&nbsp;<a href="https://www.amazon.com/Fundamentals-Data-Engineering-Robust-Systems/dp/1098108302" rel="noopener ugc nofollow" target="_blank">Amazon</a>&nbsp;during the Black Friday sale for ~USD 35 and finished reading the book on 26 April 2023.</p> <p>My notes on the book have blown up to 56 pages. Although my primary goal isn&rsquo;t to understand everything or retain every detail, I enjoy the exposure to new concepts that I can delve deeper into when needed. What I love most about reading technical books is exploring new concepts in-depth and gaining a&nbsp;<strong>more profound understanding</strong>&nbsp;of the field. It also inspired me to reflect on my work experience in data and try to connect the dots between theory and practice.</p> <p><a href="https://medium.com/@kxnk/fundamentals-of-data-engineering-book-key-learning-points-35001380dda6"><strong>Read More</strong></a></p>
Tags: Fundamentals