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
Pre-commit Hooks for Data Code
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- Git Hooks, Git SCM Contributors, 2023 - Explains the fundamental mechanism of Git hooks and how to use them for custom automation.
pre-commitframework documentation, Anthony Sottile and `pre-commit` contributors, 2023 - The official guide for setting up and managing multi-language pre-commit hooks.- The DevOps Handbook: How to Create World-Class Agility, Reliability, & Security in Technology Organizations, Gene Kim, Patrick Debois, John Willis, and Jez Humble, 2016 (IT Revolution Press) - Provides foundational principles of DevOps, including 'shift left' and continuous integration, relevant to automating quality and reliability.
- Fundamentals of Data Engineering: Planning and Building Robust Data Systems, Joe Reis, Matt Housley, 2022 (O'Reilly Media) - Covers best practices for building robust data systems, including data quality, testing, and CI/CD for data pipelines, which underlines the importance of early validation.
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