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
Dependency Graph Construction
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- Introduction to Algorithms, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, 2022 (MIT Press) - This edition provides foundational algorithms and data structures for graph representation (adjacency lists), traversal (BFS, DFS), and Directed Acyclic Graphs (DAGs), which are central to dependency graph construction and analysis.
- The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK2), DAMA International, 2017 (Technics Publications) - Offers a comprehensive framework for data management, including guidance on metadata management and data lineage, which is essential for understanding the strategic use of dependency graphs in a broader data governance context.
- OpenLineage Specification, OpenLineage Project, Ongoing (Linux Foundation AI & Data) - The official specification document for OpenLineage, which details the data model for capturing, producing, and consuming lineage events, directly referenced in the section for constructing dependency graphs.
- A Survey of Data Lineage, Seyed Amin Shahrjerdi, Hadi Zare, and Nima Ghazizadeh, 2020 arXiv preprint arXiv:2009.00665 DOI: 10.48550/arXiv.2009.00665 - Provides an overview of data lineage concepts, architectures, and solutions, including various modeling approaches and their applications in data management systems.
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