• Title: 97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
• Author(s) Tobias Macey
• Publisher: O'Reilly Media; 1st edition (July 6, 2021); eBook (Compliments of Sigma)
• Permission: Free eBook Complimented by Sigma
• Hardcover/Paperback: 264 pages
• eBook: PDF and ePub
• Language: English
• ISBN-10/ASIN: 1492062413
• ISBN-13: 978-1492062417
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Book Description

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small.

Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.

Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.

• Tobias Macey hosts the Data Engineering Podcast and Podcast.__init__ where he discusses the tools, topics, and people that comprise the data engineering and Python communities respectively.

• Amazon

• Data Science and Data Engineering
• Data Analysis and Data Mining
• Big Data
• Machine Learning
• Unix/Linux Shell Scripting

• 97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
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