Data Governance, Quality, and Observability in Production
Chapter 1: Foundations of Data Governance Code
Defining Governance in Engineering Terms
Data Classification and Tagging Strategies
Role-Based Access Control Models
Policy-as-Code Architectures
Practice: Implementing Access Policies
Chapter 2: Data Quality Dimensions and Testing
Core Dimensions of Data Quality
Anatomy of a Data Assertion
Validating Schemas and Types
Statistical Profiling and Distribution Checks
Practice: Writing Data Validation Suites
Chapter 3: Data Observability Systems
The Pillars of Data Observability
Monitoring Freshness and Latency
Volume and Row Count Anomalies
Schema Drift Detection
Practice: Building a Freshness Monitor
Chapter 4: Data Lineage and Metadata Management
Static vs Dynamic Lineage
The OpenLineage Standard
Dependency Graph Construction
Impact Analysis Techniques
Practice: Extracting Lineage from Logs
Chapter 5: Automated Reliability in CI Pipelines
Pre-commit Hooks for Data Code
Implementing Quality Gates
Circuit Breakers in Pipelines
Alerting and Incident Management
Practice: Configuring a CI Data Test
The OpenLineage Standard
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- OpenLineage: Open Standard for Data Lineage, OpenLineage Project, 2024 - Comprehensive guide to the OpenLineage specification, object model, event structure, and facets.
- Marquez Documentation, Marquez Project, 2024 - Documentation for an open-source metadata service that natively supports and consumes OpenLineage events.
- Data Observability: How to Ensure the Reliability of Your Data, Barr Moses, Lior Gavish, 2023 (O'Reilly Media) - Discusses the principles of data observability, including the role of data lineage in maintaining data reliability and quality.
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