Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks

Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks

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Ticket Sales Data

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4 of 18

Ticket Sales Data

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Classroom Contents

Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks

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  1. 1 Intro
  2. 2 Data Quality in the Modern Data Stack
  3. 3 Three Approaches to Data Quality Monitoring
  4. 4 Ticket Sales Data
  5. 5 Setup Monitoring in Anomalo
  6. 6 Anomalo Monitoring
  7. 7 Chaos Library
  8. 8 Check Log
  9. 9 Visualizations: Severity & Explanation
  10. 10 Visualizations Distribution
  11. 11 Visualizations: Root Cause Analysis
  12. 12 Encode Features Automatically
  13. 13 Build a Supervised Model
  14. 14 Generate Visualizations Using SHAP Values
  15. 15 Challenges
  16. 16 Testing
  17. 17 Get Started in Databricks
  18. 18 DATA+AI SUMMIT 2022

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