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
Defining Governance in Engineering Terms
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- Data Mesh Principles and Paradoxes, Zhamak Dehghani, 2020 MartinFowler.com (ThoughtWorks) - This article introduces the principles of Data Mesh, including 'federated computational governance,' which is consistent with the section's definition of governance as programmable logic, automated enforcement, and a technical specification within distributed data architectures.
- Computer Security: Principles and Practice, William Stallings, Lawrie Brown, 2023 (Pearson) - This authoritative textbook offers a broad foundation in computer security, including explanations of access control models (like RBAC and ABAC) and policy enforcement, which support the deterministic governance function presented.
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