Automating Data Quality Monitoring: Scaling Beyond Rules with Machine Learning
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The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of dataused to build products, power AI systems, and drive business decisionsis poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only highquality records.
Most data engineers, data analysts, and data scientists genuinely care about data quality, but they often don't have the time, resources, or un...






















