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Experts Tell Us the Best Books On Data Engineering

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This article showcases our top picks for the Books On Data Engineering. We reached out to industry leaders and experts who have contributed the suggestions within this article (they have been credited for their contributions below). We are keen to hear your feedback on all of our content and our comment section is a moderated space to express your thoughts and feelings related (or not) to this article This list is in no particular order.

Engineers Survival Guide by Merih Taze

This product was recommended by Ivan Novak from Energy Casino

This is a non-technical book that focuses on what it is to even work as a data engineer. Sometimes people who are just getting started do not know how to mentally prepare for the job. This book will be of value to anyone who is just starting out their career. The advice provided very insightful guidance for any individuals joining any corporate workplace.

Fundamentals of Data Engineering by Joe Reis

This product was recommended by Derrick Hathaway from VEM-Medical

Authors Joe & Matt did great work! Building knowledge from the ground up in a structured manner will be extremely beneficial for anyone just getting started with data engineering. The advice sections are very useful for seasoned practitioners!

Modern Data Engineering with Apache Spark by Scott Haines

This product was recommended by Derrick Hathaway from VEM-Medical

I use this book as my go-to resource when I develop or work with Spark. It is also a useful tool for finding out more about data engineering in general. Buy it if you want to start a career in data engineering or expand your toolkit!

Introduction to Data Engineering by Daniel Beach

This product was recommended by Derrick Hathaway from VEM-Medical

Bravo to the book’s author for having good intentions and wanting to spread knowledge in a field that is still largely uncharted.

The Data Warehouse Toolkit by Ralph Kimball

This product was recommended by Irene Graham from Spylix

So how about we obtain some good, trustworthy information instead? You would want the result to be accurate and resilient data models, high application agility, and well-designed models if you had successfully collected and displayed all the business value in the data. Imagine how you’d feel if someone magically granted your requests and made your dream of being a world-class data engineer a reality; instead of hoping that someone would grant your wishes, reading this book teaches you how to create your road to fulfillment.

Data Management at Scale by Piethein Strengholt

This product was recommended by Irene Graham from Spylix

A data warehouse is no longer an efficient place to keep all your data due to the significant advancements in data management and integration. Shortly, data will need to be shared and made accessible in various technological contexts. This book, Data Management at Scale, will teach you how to transform your company’s rigid, legacy data infrastructure into a more agile, future-proof system suitable for today’s data-driven business operations.

Data Pipelines Pocket Reference by James Densmore

This product was recommended by Irene Graham from Spylix

The success of every data analytics project begins with a solid data pipeline. The difference between having data and generating value is transferring data from various diverse sources and processing it to provide context. Data pipelines are defined, and their function in the modern data stack is explained in this pocket reference.

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