--- title: "Best Data Engineering Books for Beginners" url: https://daily.dev/posts/best-data-engineering-books-for-beginners-5etvpfglp source_url: https://www.youtube.com/watch?v=_qHY1u-Ht40 type: video:youtube source: "Darshil Parmar" published: 2026-05-31T07:43:27.953Z updated: 2026-05-31T07:55:20.155Z tags: ["azure", "data-engineering", "distributed-systems", "apache-spark", "data-warehouse"] reading_time: 7 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Best Data Engineering Books for Beginners **[Darshil Parmar](https://daily.dev/sources/darshilparmar)** · 7 min read · 0 upvotes · 0 comments ## Summary A curated list of seven books recommended for aspiring data engineers, covering foundational and practical topics. The list includes 'Designing Data-Intensive Applications' for understanding large-scale data systems, 'Data Warehouse Toolkit' by Kimball for dimensional modeling, 'Spark: The Definitive Guide' for big data processing, 'Grokking Algorithms' for CS fundamentals, 'Azure Data Engineering: Associate Certification Guide' for cloud-based data engineering, '97 Things Every Data Engineer Should Know' for industry best practices, and 'Fundamentals of Data Engineering' for foundational knowledge. Each book is briefly explained with its key topics and why it matters for a data engineering career. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#azure](https://daily.dev/tags/azure), [#data-engineering](https://daily.dev/tags/data-engineering), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#apache-spark](https://daily.dev/tags/apache-spark), [#data-warehouse](https://daily.dev/tags/data-warehouse) [View this post on daily.dev](https://daily.dev/posts/best-data-engineering-books-for-beginners-5etvpfglp)