Description: Data Quality Fundamentals : A Practitioner's Guide to Building Trustworthy Data Pipelines, Paperback by Moses, Barr; Gavish, Lior; Vorwerck, Molly, ISBN 1098112040, ISBN-13 9781098112042, Like New Used, Free shipping in the US Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset 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 any of the questions above, 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 is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies.Build more trustworthy and reliable data pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your company's key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets
Price: 47.76 USD
Location: Jessup, Maryland
End Time: 2025-01-15T12:54:06.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Data Quality Fundamentals : A Practitioner's Guide to Building Tr
Author: Moses, Barr; Gavish, Lior; Vorwerck, Molly
Language: english
