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Description of  Automating Data Quality Monitoring: Going Deeper Than Data Observability

1098145933 rar 1098145933 rar 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. Read more