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
Alerting and Incident Management
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- Site Reliability Engineering: How Google Runs Production Systems, Betsy Beyer, Chris Jones, Jennifer Petoff, Niall Richard Murphy, 2016 (O'Reilly Media) - Covers foundational SRE concepts, including reliability, incident management, and the rationale behind Service Level Objectives (SLOs) and error budgets.
- The Site Reliability Workbook: Practical Ways to Implement SRE, Betsy Beyer, Niall Richard Murphy, David K. Rensin, Kent Kawahara, Stephen Thorne, 2018 (O'Reilly Media) - Offers practical strategies and examples for implementing SRE practices, with specific guidance on building effective alerting systems and managing alert fatigue.
- Implementing Service Level Objectives: A Practical Guide to SLIs, SLOs, and Error Budgets, Alex Hidalgo, 2020 (O'Reilly Media) - Provides a focused guide on defining and applying Service Level Objectives, Service Level Indicators, and error budgets for robust alerting and incident prevention.
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