Moses, Barr

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

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ISBN 13:: 9781098112042
author:: Moses, Barr
format:: Paperback
publisher:: O'Reilly Media
language:: English
Publication Year:: 2022
Pages:: 300
Dimensions:: 23.1 x 17.5 x 2 centimetres (0.5
Genre:: Computers, Server & Database, Data Mining,
Condition:: New
Availability:: Item usually sent within 10 working days

£40.35

Current Stock: 5

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Description

Description

Build more trustworthy and reliable data pipelines with this expert guide to tackling data quality and trust at scale. Many teams face challenges with their data dashboards, quarterly reports, and data sets due to poor data quality. This book provides best practices and technologies used by innovative companies to tackle these issues. Learn how to build more reliable data pipelines, identify broken pipelines, and develop data quality initiatives. You'll discover how to automate data lineage graphs, build anomaly detectors for critical data assets, and treat data services with the diligence of production software. With this practical guide, you'll be equipped to make a positive impact on your team's data engineering efforts.

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