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Lior Gavish, Barr Moses, Molly Vorwerck
503 pages • missing pub info (editions)
ISBN/UID: 9781098112028
Format: Digital
Language: English
Publisher: O'Reilly Media, Inc.
Publication date: 01 September 2022
Description
Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data rel...
Content Warnings
This book doesn't have any content warnings yet!
If you're the author of this book and want to add author-approved content warnings, please email us at [email protected] to request the content warning form.
—
Lior Gavish, Barr Moses, Molly Vorwerck
503 pages • missing pub info (editions)
ISBN/UID: 9781098112028
Format: Digital
Language: English
Publisher: O'Reilly Media, Inc.
Publication date: 01 September 2022
Description
Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data rel...
Content Warnings
This book doesn't have any content warnings yet!
If you're the author of this book and want to add author-approved content warnings, please email us at [email protected] to request the content warning form.