Thread by @Aurimas_Gr

If I could only choose 5 books to read in 2023 as an aspiring Data Engineer these would be them in a specific order:

Read on in the Thread 👇

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1️⃣ ”𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴” - A book that I wish I had 5 years ago. After reading it you will understand the entire Data Engineering workflow. It will prepare you for further deep dives.

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2️⃣ ”𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲” - Data Engineers should follow the same practices that Software Engineers do and more. After reading this book you will understand DevOps practices in and out.

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3️⃣ “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.

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4️⃣ “𝗧𝗲𝗮𝗺 𝗧𝗼𝗽𝗼𝗹𝗼𝗴𝗶𝗲𝘀” - Sometimes you might get confused about why a certain communication pattern is in place in the company you work for. After reading this book you will learn the Team Topologies model of organizational structure for fast flow.

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5️⃣ “𝗗𝗮𝘁𝗮 𝗠𝗲𝘀𝗵” - Data Mesh has become an extremely popular buzzword in recent years. By reading this book you will understand the intent by the author of the term herself. Don’t be the one to throw around the term without understanding its meaning deeply.

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[𝗡𝗢𝗧𝗘]: All of the books above are talking about Fundamental concepts, even if you read all of them and decide that Data Engineering is not for you - you will be able to reuse the knowledge in any other Tech Role.

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[𝗔𝗗𝗗𝗜𝗧𝗜𝗢𝗡𝗔𝗟 𝗡𝗢𝗧𝗘]: I did not include any Fundamental Classics in the list as these can be picked up after you have already established yourself in the role.

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