Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

by Barr Moses, Lior Gavish, Molly Vorwerck

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you.

Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure...

• Format: Paperback
• Language: English
• ISBN: 1098112040
• ISBN13: 9781098112042
• Release Date: October 2022
• Publisher: O'Reilly Media
• Length: 308 Pages
• Weight: 1.15 lbs.
• Dimensions: 0.8" x 6.9" x 9.1"