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
Circuit Breakers in Pipelines
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- Release It!: Design and Deploy Production-Ready Software, Michael T. Nygard, 2018 (The Pragmatic Bookshelf) - This is the seminal work introducing the circuit breaker pattern, providing foundational principles directly applicable to data pipelines.
- Fundamentals of Data Engineering: Planning and Building Robust Data Systems, Joe Reis and Matt Housley, 2022 (O'Reilly Media) - This book covers data reliability, quality, and automated checks within modern data pipelines, offering context for the use of circuit breakers.
- Apache Airflow Documentation: ShortCircuitOperator, Apache Software Foundation, 2023 (Apache Software Foundation) - Provides specific implementation details for the ShortCircuitOperator in Apache Airflow, a common tool for blocking pipeline execution.
- dbt Docs: Testing your dbt project, dbt Labs, 2023 (dbt Labs) - Explains how to configure dbt tests with
severity: errorto halt pipeline execution when data quality assertions fail. - Anomaly Detection Principles and Techniques, Varun Chandola, Arindam Banerjee, Vipin Kumar, 2009 ACM Computing Surveys, Vol. 41 (Association for Computing Machinery (ACM)) DOI: 10.1145/1541880.1541882 - Provides a comprehensive overview of anomaly detection methods, including statistical approaches like Z-score, which are relevant to adaptive circuit breakers.
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