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