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Data Engineering Books
Readers Digest to Learn Data Engineering Gradually
In this story, I would like to talk about data engineering books and resources that might be of interest to those who learn data engineering (DE). I realised that there aren’t many of them in the market explaining data engineering as a concept holistically as a whole thing. Some of them are great with how to use particular tools and data platform architectures and some of them are my favourite bedtime reads: astonishingly easy to fall asleep while reading and gloriously boring. Some are great for strategy decision-making and some might seem a bit outdated but still useful. I hope you’ll find it interesting.
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1. Data Engineering with Python
Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python
Paul Crickard, 2020
This is a great book for those who would like to learn open-source Apache tools for data engineering. It covers all essential data engineering topics such as data modeling and offers an abundance of examples of the most common data transformations. As mentioned in the book description it…
