Automating Data Quality Monitoring at Scale (Second Early Release...
- Category Other
- Type E-Books
- Language English
- Total size 3.8 MB
- Uploaded By freecoursewb
- Downloads 76
- Last checked 2 weeks ago
- Date uploaded 2 years ago
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Infohash : BC0B178693C1BE6967977BE101BF4948D336538E
Automating Data Quality Monitoring at Scale (Second Early Release) 
https://CourseWikia.com
English | 2023 | ISBN: 9781098145927 | 49 pages | True EPUB, MOBI | 3.79 MB
The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data--used to build products, power AI systems, and drive business decisions--is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality records.
Most data engineers, data analysts, and data scientists genuinely care about data quality, but they often don't have the time, resources, or understanding to create a data quality monitoring solution that succeeds at scale. In this book, Jeremy Stanley and Paige Schwartz from Anomalo explain how you can use automated data quality monitoring to cover all your tables efficiently, proactively alert on every category of issue, and resolve problems immediately.
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- Automating Data Quality Monitoring at Scale.epub (3.0 MB)
- Automating Data Quality Monitoring at Scale.mobi (825.0 KB)
- Bonus Resources.txt (0.4 KB)
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