Here are the 𝟱 𝗯𝗼𝗼𝗸𝘀 𝘆𝗼𝘂 𝗺𝘂𝘀𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗹𝗶𝘀𝘁 𝘁𝗼 𝗴𝗲𝘁 𝘂𝗽 𝘁𝗼 𝘀𝗽𝗲𝗲𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗗𝗮𝘁𝗮 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲. I am a strong believer that you should strive to understand the entire end-to-end Data System if you want to achieve the best results in your career progression. This means having high level knowledge of both Data Engineering and Machine Learning Systems supplemented by a dose of Systems Thinking. So here is the list of books that will help you grow in these areas. 1️⃣ ”𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴” - A book that I wish I had 6 years ago. After reading it you will understand the entire Data Engineering workflow and it will prepare you for further deep dives. 2️⃣ ”𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀” - A gem of 2022 in Machine Learning System Design. It will introduce you to the entire Machine Learning Lifecycle and give you tools to reason about more complicated ML Systems.  3️⃣ “𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀” - The book introduces you to 30 Design Patterns for Machine Learning. You will find 30 recurring real life problems in ML Systems, how a given pattern tries to solve them and what are the alternatives. Always have this book by your side and refer to it once you run into described problems - the book is gold. 4️⃣  “𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗗𝗮𝘁𝗮-𝗜𝗻𝘁𝗲𝗻𝘀𝗶𝘃𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀” - Delve deeper into Data Engineering Fundamentals. After reading the book you will understand Storage Formats, Distributed Technologies, Distributed Consensus algorithms and more. 5️⃣ “𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄: 𝗔𝗻 𝗜𝗻𝘀𝗶𝗱𝗲𝗿’𝘀 𝗚𝘂𝗶𝗱𝗲” (𝘃𝗼𝗹𝘂𝗺𝗲 𝟭 𝗮𝗻𝗱 𝟮) - While these books are not focusing on Data Systems specifically they are non-questionable “must reads” to grow your systems thinking. It covers multiple IT systems that you would find in the real world and explains how to reason about scaling them as the user count increases. [𝗡𝗢𝗧𝗘]: All of the books above are talking about Fundamental concepts, even if you read all of them and decide that Data Field is not for you - you will be able to reuse the knowledge in any other Tech Role. Would you swap any books if you had only 5 slots? Let me know in the comment section 👇 -------- Follow me to upskill in #MLOps, #MachineLearning, #DataEngineering, #DataScience and overall #Data space. Also hit 🔔to stay notified about new content. 𝗗𝗼𝗻’𝘁 𝗳𝗼𝗿𝗴𝗲𝘁 𝘁𝗼 𝗹𝗶𝗸𝗲 💙, 𝘀𝗵𝗮𝗿𝗲 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗲𝗻𝘁! Join a growing community of Data Professionals by subscribing to my 𝗡𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: newsletter.swirlai.com