1
Practical Data Quality
by Robert Hawker and Nicola Askham (2013)
Like 'Data Quality Fundamentals', this book offers practical strategies for improving data quality.
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10 Books Similar to “Data Quality Fundamentals” by Barr Moses, Lior Gavish, Molly Vorwerck
Data Quality Fundamentals
by Barr Moses, Lior Gavish, Molly Vorwerck (2022)
★4.00(1 ratings)
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. Authors Barr Moses, Lior Gavish, and Molly Vorwerck 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.
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2
Data Management at Scale, 2nd Edition
by Piethein Strengholt (2020)
This book complements 'Data Quality Fundamentals' by detailing large-scale data management practices.
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3
Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer Knaflic (2015)
★4.25(38)
Similar to 'Data Quality Fundamentals', this book focuses on making data understandable and actionable.
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4
Fundamentals of Data Engineering
by Joe Reis, Matt Housley (2022)
★4.17(6)
This book provides a foundational understanding that pairs well with 'Data Quality Fundamentals'.
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5
Data Quality in the Age of AI
by Andrew Jones
Like 'Data Quality Fundamentals', this book explores the critical importance of data quality in evolving tech.
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