Building Trustworthy Data Products: A Practitioner’s Guide to Quality, Governance, and Compliance

Abstract

Building Trustworthy Data Products: A Practitioner’s Guide to Quality Governance, and Compliance Table of ContentsCHAPTER 1 Introduction to Data as a ProductCHAPTER 2 Defining the Architecture of Data ProductsCHAPTER 3 Foundations of Data Quality EngineeringCHAPTER 4 Data Contracts and Interface StandardsCHAPTER 5 Metadata Management and Enterprise CatalogsCHAPTER 6 Data Lineage and Provenance TrackingCHAPTER 7 Modern Data Governance FrameworksCHAPTER 8 Data Privacy, Security, and Access ControlsCHAPTER 9 Regulatory Compliance: GDPR, CCPA, and BeyondCHAPTER 10 Observability, Anomaly Detection, and AlertingCHAPTER 11 Testing and Verification in Data PipelinesCHAPTER 12 Continuous Integration and Deployment for Data ProductsCHAPTER 13 Service Level Agreements, Objectives, and IndicatorsCHAPTER 14 Documentation, Discoverability, and Consumer Experience CHAPTER 15 Case Study: Healthcare and Clinical Data ReliabilityCHAPTER 16 Case Study: Financial Fraud and Real-Time ComplianceCHAPTER 17 Emerging Debates in Data Governance and AICHAPTER 18 Economic Valuation and Cost Governance of DataCHAPTER 19 Organizational Culture and Scaling TrustCHAPTER 20 Conclusion and the Future of Trustworthy Data Systems