183. Data retention, archival and deletion governance for compliance.m4a

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Brochure and Module PDFs

MODULE 1 - Foundations of Enterprise Data Governance (Ch 1-25)

MODULE 2 - Governance Roles, Organization & Operating Model (Ch 26-50)

MODULE 3 - Data Strategy, Policies & Standards (Ch 51-75)

MODULE 4 - Metadata Management & Data Catalogs (Ch 76-100)

MODULE 5 - Data Quality Management (Ch 101-125)

MODULE 6 - Master Data Management (MDM) & Reference Data (Ch 126-150)

MODULE 7 - Data Architecture, Modeling & Standards (Ch 151-175)

MODULE 8 - Privacy, Security & Regulatory Compliance (Ch 176-200)

MODULE 9 - Data Catalog, Lineage & Observability in Practice (Ch 201-225)

MODULE 10 - Data Product Management & Data-as-a-Service (Ch 226-250)

MODULE 11 - Tooling & Technology for Governance (Ch 251-275)

MODULE 12 - Data Contracts, APIs & Service Governance (Ch 276-300)

MODULE 13 - Data Integration, Ingestion & Pipeline Governance (Ch 301-325)

MODULE 14 - Change Management, Adoption & Cultural Transformation (Ch 326-350)

MODULE 15 - Data Governance in Cloud, Multi-cloud & Data Mesh (Ch 351-375)

MODULE 16 - Data Governance Metrics, Reporting & Continuous Improvement (Ch 376-400)

MODULE 17 - Special Topics: Data Ethics, Responsible AI & Sensitive Data Governance (Ch 401-425)

MODULE 18 - Implementation, Rollout & Program Delivery (Ch 426-450)

MODULE 19 - Case Studies, Industry Patterns & Best Practices (Ch 451-475)

MODULE 20 - Templates, Playbooks, Certification & Next Steps (Ch 476-500)

Module-21-Data-Quality-Masterclass-Functional (Ch 501-529)