ML-Based Anomaly Detection for Data Pipelines — Roadmap Step & Resour…
Using learned models to catch subtler issues than fixed rules
- Level: beginner
- Estimated time: 1 days
- Roadmap: Data Quality, Governance & Observability
Before this step
Study resources
- Google Cloud Data Catalog Documentation (Article) — Official documentation for Google Cloud's data cataloging and metadata management service. Background reading/viewing for: ML-Based Anomaly Detection for Data Pipelines.
- Great Expectations Documentation (Article) — Official documentation relevant to statistical data quality checks. Relevant to: ML-Based Anomaly Detection for Data Pipelines.
Part of
- Anomaly Detection for Data — section
- Data Quality, Governance & Observability roadmap — the full learning path