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Data Governance Overview

🛡️ Data Quality & Governance

Data is only useful if it’s reliable and secure. Data Quality and Governance are the practices of ensuring that your data is trustworthy and compliant.

🔍 Section Overview

Explore the tools and processes used to maintain a high-quality, secure data platform.

1. Data Quality & Validation

Master Great Expectations and Elementary. Learn how to write automated data quality tests for every step of your pipeline.

2. Data Lineage & Discovery

Understand Data Lineage. Use tools like OpenLineage and Amundsen to trace data from source to destination.

🎯 Key Learning Goals

  • Implement automated data quality checks that stop broken data from entering your warehouse.
  • Use Data Lineage to track the impact of downstream changes.
  • Build a secure, compliant data platform that follows GDPR and CCPA guidelines.