10 Books Similar to 97 Things Every Data Engineer Should Know by Tobias Macey

Cover of 97 Things Every Data Engineer Should Know

97 Things Every Data Engineer Should Know

by Tobias Macey (2021)

4.00(2 ratings)

With this in-depth book, data engineers will learn powerful, real-world best practices for managing data big and small. Contributors from companies including Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for cleaning, prepping, wrangling, storing, processing, and ingesting data. Current and aspiring data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will get targeted advice for overcoming a variety of specific challenges from engineers at major companies. Projects include: Building pipelines Stream processing Data privacy and security Data governance and lineage Data storage and architecture Ecosystem of modern tools Data team makeup and culture Career advice

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Cover of The Data Warehouse Toolkit

The Data Warehouse Toolkit

by Ralph Kimball, Margy Ross (1996)

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Following the spirit of '97 Things Every Data Engineer Should Know', this offers deep insights into data warehousing.

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Cover of Database Internals

Database Internals

by Alex Petrov (2019)

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Like '97 Things Every Data Engineer Should Know', this book dives deep into the mechanics of data systems.

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