DataOps, Data Version Control for Data Science (6 books)

Niche list of books on document version control for Data Science and Machine Learning.

Includes trend terms Data Version Control and DataOps, but covers widely the problem of tracking variants of models, data, code and decisions.

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1	DataOps Cookbook by Christopher Bergh 3.76 avg rating — 21 ratings score: 200, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2	Practical Dataops: Delivering Agile Data Science at Scale by Harvinder Atwal 3.63 avg rating — 27 ratings score: 198, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
3	DataOps: The Authoritative Edition by John Schmidt 4.14 avg rating — 7 ratings score: 196, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
4	Creating a Data-Driven Enterprise with DataOps by Ashish Thusoo 4.24 avg rating — 29 ratings score: 194, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
5	Data Pipelines with Apache Airflow by Bas P. Harenslak 4.31 avg rating — 115 ratings score: 192, and 2 people voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
6	Building Machine Learning Powered Applications: Going from Idea to Product by Emmanuel Ameisen 4.22 avg rating — 147 ratings score: 95, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars