448. Community governance for feedback & continuous evangelism post-rollout.m4a

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Enterprise Data Governance Master Program

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Brochure and Module PDFs

  • Enterprise Data Governance Master Program_Brochure_Self_Paced_DurgaAnalytics.pdf
  • MODULE 1 - Foundations of Enterprise Data Governance (Ch 1-25).pdf
  • MODULE 2 - Governance Roles, Organization & Operating Model (Ch 26-50).pdf
  • MODULE 3 - Data Strategy, Policies & Standards (Ch 51-75).pdf
  • MODULE 4 - Metadata Management & Data Catalogs (Ch 76-100).pdf
  • MODULE 5 - Data Quality Management (Ch 101-125).pdf
  • MODULE 6 - Master Data Management (MDM) & Reference Data (Ch 126-150).pdf
  • MODULE 7 - Data Architecture, Modeling & Standards (Ch 151-175).pdf
  • MODULE 8 - Privacy, Security & Regulatory Compliance (Ch 176-200).pdf
  • MODULE 9 - Data Catalog, Lineage & Observability in Practice (Ch 201-225).pdf
  • MODULE 10 - Data Product Management & Data-as-a-Service (Ch 226-250).pdf
  • MODULE 11 - Tooling & Technology for Governance (Ch 251-275).pdf
  • MODULE 12 - Data Contracts, APIs & Service Governance (Ch 276-300).pdf
  • MODULE 13 - Data Integration, Ingestion & Pipeline Governance (Ch 301-325).pdf
  • MODULE 14 - Change Management, Adoption & Cultural Transformation (Ch 326-350).pdf
  • MODULE 15 - Data Governance in Cloud, Multi-cloud & Data Mesh (Ch 351-375).pdf
  • MODULE 16 - Data Governance Metrics, Reporting & Continuous Improvement (Ch 376-400).pdf
  • MODULE 17 - Special Topics Data Ethics, Responsible AI & Sensitive Data Governance (Ch 401-425).pdf
  • MODULE 18 - Implementation, Rollout & Program Delivery (Ch 426-450).pdf
  • MODULE 19 - Case Studies, Industry Patterns & Best Practices (Ch 451-475).pdf
  • MODULE 20 - Templates, Playbooks, Certification & Next Steps (Ch 476-500).pdf
  • MODULE 21 - Data Quality Masterclass (Functional).pdf

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

  • Module 01 - Foundations of Enterprise Data Governance.chapters.txt
  • Module 01 - Foundations of Enterprise Data Governance.mp4
  • 3. Governance vs. stewardship vs. management - roles explained.m4a
  • 4. Data governance operating models (centralized, federated, hybrid).m4a
  • 25. Module 1 Capstone_ Build an executive-ready data governance charter.m4a
  • 21. Quick wins & pilot program design for governance adoption.m4a
  • 20. Data ethics & responsible data use in governance context.m4a
  • 5. Data ownership vs. accountability - RACI for data.m4a
  • 9. Stakeholder mapping & sponsorship strategies (executive buy-in).m4a
  • 6. Governance lifecycle - policy to standard to enforcement to review.m4a
  • 18. Legal_regulatory drivers_ overview (GDPR, CCPA, industry specifics).m4a
  • 24. Vendor management & third-party governance considerations.m4a
  • 8. Data domains, domains boundaries & domain prioritization.m4a
  • 7. Business drivers_ regulation, analytics, M&A, cloud migration.m4a
  • 22. Governance for cloud and multi-cloud environments.m4a
  • 23. Budgeting & funding models for governance initiatives.m4a
  • 16. Communications, training & community building (data council).m4a
  • 12. Common governance pitfalls & failure modes.m4a
  • 10. Governance metrics & KPIs - how to measure success.m4a
  • 19. Security & privacy interplay with governance (principles).m4a
  • 17. Tooling landscape overview & selection criteria (catalogs, MDM, DQ).m4a
  • 14. Program planning_ phases, timelines and resource models.m4a
  • 11. Building the business case & ROI for data governance.m4a
  • 15. Change management for governance adoption.m4a
  • 13. Governance maturity models - assessment & roadmaps.m4a
  • 2. Definitions, scope and success criteria for governance programs.m4a
  • 1. Why Data Governance_ Business value and risks.m4a

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

  • Module 02 - Governance Roles, Organization & Operating Model.mp4
  • 28. Data owners, stewards, custodians, and their job cards.m4a
  • 27. Chief Data Officer (CDO) role & responsibilities.m4a
  • 32. Data custodianship_ IT's responsibilities and SLAs.m4a
  • 33. Governance PMO_ program delivery & tracking.m4a
  • 39. Running effective governance workshops & decisions.m4a
  • 47. Resource planning and capacity modeling for governance teams.m4a
  • 42. Outsourcing & managed service models for governance tasks.m4a
  • 49. Building sustainable communities of practice (CoP).m4a
  • 34. Embedding governance in agile teams & squads.m4a
  • 36. Incentives & performance measures for stewards.m4a
  • 31. Data governance council_ charter, cadence, deliverables.m4a
  • 45. Training curriculum for governance roles (roadmap & materials).m4a
  • 38. Cross-functional governance_ legal, security, compliance, finance, product.m4a
  • 30. Business data stewards vs. technical stewards - collaboration patterns.m4a
  • 48. Career paths for data stewards & governance professionals.m4a
  • 37. RACI templates and role-based permission frameworks.m4a
  • 35. Operating rhythm_ meetings, KPIs, escalations, approvals.m4a
  • 50. Module 2 Lab_ Design an operating model & role RACI for a mid-sized enterprise.m4a
  • 44. Governance in mergers & acquisitions_ rapid integration playbook.m4a
  • 46. Governance metrics dashboard_ what to show executives.m4a
  • 43. Maturity ramp_ how to evolve operating model over 6-24 months.m4a
  • 29. Building a data stewardship program (hiring & onboarding).m4a
  • 40. Conflict resolution & exception handling processes.m4a
  • 41. Scaling governance across business units & geographies.m4a
  • 26. Designing a governance organization - councils, chapters, guilds.m4a

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

  • Module 03 - Data Strategy, Policies & Standards.chapters.txt
  • Module 03 - Data Strategy, Policies & Standards.mp4
  • 70. Policy retirement & policy refresh cycles.m4a
  • 65. Naming conventions and data model standards.m4a
  • 73. Best practices for global policy harmonization across jurisdictions.m4a
  • 64. Standardization of identifiers, codes and reference data.m4a
  • 69. Policy testing & compliance verification processes.m4a
  • 57. Data usage policy - acceptable use, analytics, sharing, export rules.m4a
  • 75. Module 3 Capstone_ Draft a set of core governance policies for your domain.m4a
  • 52. Components of a data strategy document (vision, outcomes, roadmap).m4a
  • 62. Data security policy alignment with governance (encryption, masking).m4a
  • 53. Policy design fundamentals - lifecycle and approvals.m4a
  • 72. Policy exceptions register - governance & audit handling.m4a
  • 51. Translating business strategy into a data strategy.m4a
  • 63. Policy exceptions, waivers & audit trails.m4a
  • 67. Translating policy into automated controls & checks.m4a
  • 61. Privacy policy & data subject rights management (DSAR workflow).m4a
  • 68. Policy publishing, communication & training plan.m4a
  • 66. Version control & change management for policies & standards.m4a
  • 60. Master data policy - golden records, reconciliation, stewardship rules.m4a
  • 55. Data retention & archival policy - legal & business drivers.m4a
  • 59. Metadata policy - required metadata and governance workflow.m4a
  • 58. Data quality policy & SLAs - standards and enforcement.m4a
  • 56. Data access policy - roles, approvals, emergency access (break glass).m4a
  • 74. Tooling patterns for policy lifecycle management.m4a
  • 54. Data classification policy - scheme, levels, handling rules.m4a
  • 71. Policy mapping to regulations and internal controls.m4a

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

  • Module 04 - Metadata Management & Data Catalogs.mp4
  • Module 04 - Metadata Management & Data Catalogs.chapters.txt
  • 89. Catalog UX & adoption strategies for business users.m4a
  • 94. Search relevancy, recommendations and personalization in catalogs.m4a
  • 98. Migration & consolidation of multiple catalogs approach.m4a
  • 81. Data catalog capabilities - search, discovery, profiling, tagging.m4a
  • 83. Automated metadata extraction & ingestion patterns.m4a
  • 80. Operational metadata_ jobs, schedules, SLAs, owners.m4a
  • 99. Emerging trends_ active metadata & metadata intelligence.m4a
  • 85. Visual lineage vs programmatic lineage - use cases and design.m4a
  • 91. Catalog synchronization with MDM, DQ and policy engines.m4a
  • 90. API-driven catalog integration for tools & self-service portals.m4a
  • 100. Module 4 Lab_ Build a governance-ready data catalog design.m4a
  • 86. Metadata model design - entities, attributes, relationships.m4a
  • 95. Measuring catalog ROI_ discovery time, reduced duplicates, analytics adoption.m4a
  • 97. Catalog scalability & multi-cloud support considerations.m4a
  • 78. Building and maintaining a business glossary - process & stewardship.m4a
  • 88. Tagging strategy_ sensitive data, PI, business domain, compliance tags.m4a
  • 93. Catalog security_ who can view, edit, request changes.m4a
  • 84. Lineage capture_ approaches (ETL, query parsing, instrumentation).m4a
  • 96. Governance workflows built into catalog (edit requests, approvals).m4a
  • 77. Business glossaries & taxonomies_ why they matter.m4a
  • 76. Metadata fundamentals_ technical, business, operational metadata.m4a
  • 87. Metadata quality_ completeness, currency, accuracy checks.m4a
  • 92. Open metadata standards & interoperability (e.g., OpenMetadata).m4a
  • 79. Technical metadata_ lineage, schema, table_field definitions.m4a
  • 82. Catalog governance_ who curates and approves entries.m4a

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

  • Module 05 - Data Quality Management.mp4
  • Module 05 - Data Quality Management.chapters.txt
  • 103. Data profiling at scale - techniques & tooling patterns.m4a
  • 102. Data quality framework_ metrics, rules, thresholds, SLAs.m4a
  • 125. Module 5 Lab_ Create a data quality ruleset, detection, and remediation flow for a sample dataset.m4a
  • 108. Root cause analysis for data defects - methods and tools.m4a
  • 117. Measuring impact_ business outcomes tied to data quality improvements.m4a
  • 110. Data quality ownership_ steward-driven vs automated remediation.m4a
  • 124. Organizational change to embed data quality culture.m4a
  • 109. Data quality monitoring & alerting best practices.m4a
  • 118. Data quality SLAs & contractual obligations (internal_external).m4a
  • 111. De-duplication strategies & record linkage approaches.m4a
  • 112. Data validation for master data vs transactional data.m4a
  • 106. Data quality scorecards & dashboards - what to present to stakeholders.m4a
  • 104. Rule design_ syntactic vs semantic validation.m4a
  • 115. Machine-assisted data quality - ML for anomaly detection & matching.m4a
  • 107. Data quality remediation workflows & playbooks.m4a
  • 123. Data quality maturity model and roadmap.m4a
  • 113. Test-driven data quality & CI_CD for data checks.m4a
  • 116. Data quality in multi-system landscapes & reconciliation techniques.m4a
  • 114. Synthetic & test data for data quality validation.m4a
  • 121. Data quality governance & audit trails for fixes and exceptions.m4a
  • 119. Data quality across data transformations (ELT_ETL) - preserving fidelity.m4a
  • 120. Implementing data quality in cloud-native pipelines and lakehouses.m4a
  • 105. Implementing data quality checks in pipelines (batch & streaming).m4a
  • 101. Data quality dimensions_ accuracy, completeness, consistency, timeliness, uniqueness, validity.m4a
  • 122. Integrating data quality with catalogs and lineage for triage.m4a

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

  • Module 06 - Master Data Management (MDM) & Reference Data.mp4
  • Module 06 - Master Data Management (MDM) & Reference Data.chapters.txt
  • 140. Data stewardship workflows for data correction and enhancement.m4a
  • 136. Change data capture and propagation strategies for MDM.m4a
  • 150. Module 6 Lab_ Design an MDM solution for customer & product domains with reconciliation flows.m4a
  • 129. Matching & merging algorithms_ deterministic, probabilistic, hybrid.m4a
  • 133. MDM governance_ steward workflows & approval processes.m4a
  • 144. Master data security, PII handling & masking strategies.m4a
  • 149. Vendor selection criteria & RFP checklist for MDM solutions.m4a
  • 143. Performance & scale patterns for large master data sets.m4a
  • 142. Integration of MDM with data governance catalogs & policies.m4a
  • 135. MD validation & enrichment - sources & services (third-party data).m4a
  • 139. Data model design & standards for master entities.m4a
  • 137. Synchronization patterns across operational systems & analytics platforms.m4a
  • 146. Event-driven master data updates and notification patterns.m4a
  • 127. Master data domains_ customers, products, assets, suppliers, locations.m4a
  • 130. Identity resolution & persistent identifiers (IDs, GUIDs).m4a
  • 126. MDM fundamentals_ purpose, models (registry, consolidation, coexistence, centralized).m4a
  • 131. Reference data management_ taxonomies, code lists, timetables.m4a
  • 145. MDM testing strategies_ regression, reconciliation, drift detection.m4a
  • 138. MDM in cloud_ SaaS MDM vs self-hosted MDM trade-offs.m4a
  • 132. Hierarchies & relationships in master data (parent-child, associations).m4a
  • 128. Golden record concepts & survivorship rules.m4a
  • 147. API-first patterns for master data access & management.m4a
  • 134. MDM architecture_ hub, virtual hub, multi-master topologies.m4a
  • 141. Monitoring master data health & reconciliation metrics.m4a
  • 148. Migration & cutover strategies from legacy systems to MDM.m4a

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

  • Module 07 - Data Architecture, Modeling & Standards.mp4
  • Module 07 - Data Architecture, Modeling & Standards.chapters.txt
  • 152. Data modeling approaches_ conceptual, logical, physical, canonical models.m4a
  • 159. Versioning strategies for schemas and contracts.m4a
  • 158. Semantic layers & business-friendly modeling for analytics consumers.m4a
  • 163. Privacy-aware modeling_ tokenization & pseudonymization patterns.m4a
  • 167. Modeling for multi-lingual, multi-region data (localization considerations).m4a
  • 172. Ensuring referential integrity in distributed systems & lakes.m4a
  • 174. Monitoring schema drift and automated alerts for breaking changes.m4a
  • 153. Reference architectures for governed analytics (lakehouse, data mesh, data warehouse).m4a
  • 156. API contract design & governance for data products.m4a
  • 154. Canonical data models and cross-domain normalization strategies.m4a
  • 162. Modeling time-series & sequence data for energy, logs, telemetry.m4a
  • 157. Event and message schema governance (Avro, Protobuf, JSON Schema).m4a
  • 171. Data model documentation & publishing best practices.m4a
  • 164. Data model evolution patterns & backward compatibility techniques.m4a
  • 155. Schema governance - naming, types, compatibility rules.m4a
  • 166. Integration layer & canonical schemas for cross-system interoperability.m4a
  • 175. Module 7 Lab_ Create a governed canonical model and versioned schema lifecycle for a data product.m4a
  • 151. Principles of modern data architecture for governance (logical, physical, conceptual).m4a
  • 170. Data modeling collaboration workflows_ review, annotations, approval.m4a
  • 173. Model-driven data pipelines & code generation patterns.m4a
  • 165. Shared data models vs domain-specific models - trade-offs.m4a
  • 168. Performance-oriented modeling_ partition keys, clustering, denormalization patterns.m4a
  • 169. Document vs relational vs graph data model governance decisions.m4a
  • 161. Modeling for near-real-time analytics and streaming use cases.m4a
  • 160. Data model governance tools and processes (reviews, approvals).m4a

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

  • Module 08 - Privacy, Security & Regulatory Compliance.chapters.txt
  • Module 08 - Privacy, Security & Regulatory Compliance.mp4
  • 179. Consent management, capture, revocation & governance workflows.m4a
  • 192. Automation for compliance_ policy-as-code, automated enforcement, controls testing.m4a
  • 185. Cross-border data transfer governance & adequacy assessments.m4a
  • 176. Privacy fundamentals & legal landscape (GDPR, CCPA, PDPA, sectoral rules).m4a
  • 184. Auditability & evidence for regulatory audits - logs, lineage, approvals.m4a
  • 193. Building audit packs & evidence sets for compliance reviews.m4a
  • 177. Data protection by design & default - governance implications.m4a
  • 187. Breach response & notification workflows integrated with governance.m4a
  • 198. Governance integration with IAM, secrets management & security ops.m4a
  • 182. Encryption, tokenization & masking strategies - governance policy enforcement.m4a
  • 195. Recordkeeping & documentation standards for regulated industries.m4a
  • 197. Certification & attestation frameworks_ SOC2, ISO, industry audits.m4a
  • 186. Vendor & third-party privacy_security assessments - governance checklists.m4a
  • 196. Role of legal & compliance teams within data governance.m4a
  • 180. Data classification and handling requirements for PI_PHI and sensitive data.m4a
  • 194. Governance for sensitive analytics (differential privacy, federated learning).m4a
  • 181. Access control models - RBAC, ABAC, attribute stores & governance alignment.m4a
  • 183. Data retention, archival and deletion governance for compliance.m4a
  • 189. De-identification & anonymization techniques and re-identification risk governance.m4a
  • 188. Privacy & security testing - pen tests, privacy impact assessments (PIA).m4a
  • 199. Continuous monitoring & compliance posture dashboards.m4a
  • 190. Data residency, sovereignty & local regulatory compliance patterns.m4a
  • 200. Module 8 Capstone_ Build a compliance-ready governance plan for privacy and security.m4a
  • 178. Data subject rights & governance processes (DSAR handling).m4a
  • 191. Privacy governance KPIs & monitoring (consent rates, DSAR SLAs).m4a

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

  • Module 09 - Data Catalog, Lineage & Observability in Practice.chapters.txt
  • 204. Observability for data pipelines_ metrics, tracing, logs for data flows.m4a
  • Module 09 - Data Catalog, Lineage & Observability in Practice.mp4
  • 222. Continuous improvement loop_ observability to detection to fix to measure.m4a
  • 205. Data product telemetry_ usage, freshness, quality, adoption metrics.m4a
  • 212. Alerting & incident playbooks driven by observability signals.m4a
  • 209. Data contracts & SLAs - automated verification & observability.m4a
  • 202. Lineage use cases_ impact analysis, root cause, audits, compliance.m4a
  • 213. Metadata enrichment from observability to improve discoverability.m4a
  • 203. Techniques for lineage capture_ instrumentation, parsing, metadata-driven.m4a
  • 206. Integrating data lineage with catalogs & DQ tooling for triage.m4a
  • 216. Observability for streaming vs batch pipelines - design differences.m4a
  • 207. Lineage visualization patterns & UX design for stakeholders.m4a
  • 214. Correlating business KPIs with data lineage & observability metrics.m4a
  • 223. Data lineage for federated_multi-cloud environments - patterns.m4a
  • 219. Analytics for catalog usage & business adoption (who uses what).m4a
  • 217. Cost-aware observability - limiting telemetry overheads.m4a
  • 210. Data pipeline observability_ orchestration integration, retries, failures, latency.m4a
  • 211. Automated root cause analysis using lineage + observability signals.m4a
  • 218. Building a data incident management lifecycle (ticketing, remediation, postmortem).m4a
  • 201. End-to-end lineage capture_ source to transform to consumption.m4a
  • 224. Governance reporting leveraging lineage & observability insights.m4a
  • 208. Drift detection_ schema, concept and distribution drift monitoring.m4a
  • 220. Governance controls enforced via observability (policy violations detected).m4a
  • 221. Integrating open-source and commercial observability stacks with catalog platforms.m4a
  • 215. Longitudinal tracing of metrics to data source (auditability).m4a
  • 225. Module 9 Lab_ Implement lineage capture and observability for a sample ETL pipeline.m4a

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

  • Module 10 - Data Product Management & Data-as-a-Service.chapters.txt
  • Module 10 - Data Product Management & Data-as-a-Service.mp4
  • 236. Data product catalogs & marketplace design for ease-of-use.m4a
  • 234. Observability & telemetry on data product consumption.m4a
  • 226. What is a data product_ Product thinking applied to data.m4a
  • 232. Pricing & cost allocation models for internal data products.m4a
  • 240. Versioning & deprecation strategies for data products.m4a
  • 249. Case studies_ high-value data products (billing, customer 360, risk).m4a
  • 237. Access_gating & entitlements for data products (governance rules).m4a
  • 230. Data contracts_ schema, semantic, SLA contracts between teams.m4a
  • 238. Continuous delivery & CI_CD for data products (tests, checks, linting).m4a
  • 229. Defining SLAs_ freshness, availability, quality, performance.m4a
  • 239. Product-level quality assurance & testing (contract tests, replay tests).m4a
  • 227. Data product lifecycle_ ideation to build to operate to retire.m4a
  • 235. Onboarding processes & developer experience for consumers.m4a
  • 233. APIs, data extracts, event streams - product delivery modes.m4a
  • 243. Data product SLAs enforcement & remediation flows.m4a
  • 247. Service catalog integration with enterprise tooling & portals.m4a
  • 248. Operating model for large-scale data product platforms (domains & platforms).m4a
  • 246. Data product packaging for regulatory reporting & audit needs.m4a
  • 244. Product analytics_ adoption, usage patterns, value metrics.m4a
  • 241. Monetization & chargeback for internal_external data products.m4a
  • 242. Data product roadmaps - aligning to business priorities & governance.m4a
  • 250. Module 10 Capstone_ Design & spec a governed data product for a business domain.m4a
  • 231. Packaging data for discovery, reuse & self-service (formats, docs).m4a
  • 228. Product roles_ data product manager, owner, engineers, stewards.m4a
  • 245. Governance guardrails for product teams (policy-as-code, templates).m4a

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

  • Module 11 - Tooling & Technology for Governance.chapters.txt
  • 257. Integration platforms & API gateways for governed data flows.m4a
  • 260. Catalog + lineage + data quality integration architectures.m4a
  • 254. Data quality tooling (Great Expectations, Deequ, Talend, commercial offerings).m4a
  • 269. Extensibility, SDKs & APIs for toolchain automation & governance automation.m4a
  • 258. Observability stacks for data (Prometheus, Grafana, enterprise alternatives).m4a
  • 267. Vendor evaluation checklist & RFP questions for governance tools.m4a
  • 253. MDM_MDH tooling landscape & selection criteria.m4a
  • 255. Policy engines & policy-as-code platforms (OPA, custom).m4a
  • 270. Observability of governance processes (workflow success rates, SLAs met).m4a
  • 262. Tooling for privacy & compliance automation (DSAR, consent).m4a
  • 264. Open-source alternatives vs commercial ecosystems - trade-offs & TCO.m4a
  • 252. Evaluation criteria for catalog & metadata tools (Atlan, Collibra, Purview, OpenMeta).m4a
  • 272. Cost modeling & license strategy for governance tooling at enterprise scale.m4a
  • 256. Workflow & stewardship platforms (ticketing, task automation).m4a
  • 274. Governance tool adoption, change management & training plan.m4a
  • 266. Tooling for data contracts & automated verification (PACT-like approaches).m4a
  • 259. Orchestration & data pipeline tooling governance (Airflow, Prefect, dbt, etc.).m4a
  • 265. Building a governance platform_ integration, event bus, metadata hub patterns.m4a
  • 275. Module 11 Lab_ Design an integrated governance tooling architecture.m4a
  • 268. Migration considerations_ consolidating multiple tools & data sources.m4a
  • 261. SaaS vs self-hosted governance tooling trade-offs.m4a
  • 263. Cloud provider governance features (AWS Lake Formation, Azure Purview, GCP Data Catalog).m4a
  • 271. Security & compliance features in governance tooling (audit trails, RBAC).m4a
  • 251. Governance tool taxonomy_ catalogs, lineage, MDM, DQ, policy engines.m4a
  • 273. Piloting governance tooling_ PoC checklist & acceptance tests.m4a

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

  • Module 12 - Data Contracts, APIs & Service Governance.chapters.txt
  • Module 12 - Data Contracts, APIs & Service Governance.mp4
  • 276. Principles of data contracts & why they matter for governance.m4a
  • 286. Automation for contract validation in CI pipelines (pre-merge checks).m4a
  • 284. Contract versioning, migration and client compatibility strategies.m4a
  • 277. Designing schema contracts_ semver, compatibility rules, documentation.m4a
  • 280. Governance of event schemas and message brokers.m4a
  • 299. Change management & communications for contract evolution.m4a
  • 293. Contract governance in microservices & data mesh contexts.m4a
  • 297. Contract retirement & deprecation governance processes.m4a
  • 296. Developer experience_ SDKs, sample data, contract docs for adoption.m4a
  • 283. Governance for third-party & partner API_data contracts.m4a
  • 298. Governance KPIs for APIs & contracts (uptime, breaking changes, adoption).m4a
  • 287. Catalog integration of contracts & API specs for discovery.m4a
  • 285. Data stewardship & contract owner responsibilities.m4a
  • 290. Policy-driven access control for APIs and data services.m4a
  • 288. Monitoring contract usage & violations via telemetry.m4a
  • 291. SLOs & SLAs for data APIs and data products - monitoring & reporting.m4a
  • 300. Module 12 Lab_ Implement contract-driven CI checks and catalog registration.m4a
  • 292. Security & throttling governance for public_private APIs.m4a
  • 289. Incident handling for breaking contract changes & rollback playbooks.m4a
  • 279. API governance_ lifecycle, security, and documentation policies.m4a
  • 295. API gateway & service mesh governance patterns.m4a
  • 282. Contract enforcement_ compile-time vs runtime checks.m4a
  • 294. Legal & compliance considerations in external contracts & SLAs.m4a
  • 281. Contract registry patterns & discoverability for consumers.m4a
  • 278. Contract testing techniques & automation (consumer-driven contracts).m4a

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

  • Module 13 - Data Integration, Ingestion & Pipeline Governance.chapters.txt
  • Module 13 - Data Integration, Ingestion & Pipeline Governance.mp4
  • 317. Handling schema drift and automated detection & remediation patterns.m4a
  • 307. Backfill & replay governance_ safe backfill practices & approvals.m4a
  • 312. Data retention & purge policies enforced at ingestion layer.m4a
  • 313. Monitoring ingestion health & business SLAs (freshness, latency).m4a
  • 315. Encryption & masking during ingestion for sensitive sources.m4a
  • 306. Logging, tracing & lineage capture in ingestion stages.m4a
  • 305. Data validation gates at ingestion - rules & automation.m4a
  • 304. Idempotency & deduplication strategies in ingestion flows.m4a
  • 301. Governance challenges unique to data integration & pipelines.m4a
  • 321. Governance of transformation logic - testing & approvals.m4a
  • 311. Environment promotion policies - dev to staging to prod governance controls.m4a
  • 309. Operational governance_ retries, dead-letter queues, replay policies.m4a
  • 324. Regulatory logging requirements for ingestion processes (audit trails).m4a
  • 314. Access control & isolation for raw_landing zones in lakehouses.m4a
  • 323. Data productization of ingested data - cataloging & stewardship handoff.m4a
  • 302. Standardizing ingestion patterns_ batch, micro-batch, streaming.m4a
  • 319. Data contracts & API catalogs for upstream data producers.m4a
  • 308. Contract-based ingestion_ producer-consumer contracts & SLAs.m4a
  • 322. Cost governance for high-throughput ingestion pipelines.m4a
  • 316. Event schemas & governance for event-centric architectures.m4a
  • 303. Schema evolution management & compatibility for pipelines.m4a
  • 310. Deployment governance for pipeline code (CI_CD, approvals, tests).m4a
  • 318. Cross-team ownership & support models for ingestion flows.m4a
  • 320. Observability-driven alerting & automated playbooks for pipeline failures.m4a
  • 325. Module 13 Lab_ Build governed ingestion pipeline with validation, lineage and restartability.m4a

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

  • Module 14 - Change Management, Adoption & Cultural Transformation.chapters.txt
  • Module 14 - Change Management, Adoption & Cultural Transformation.mp4
  • 341. Feedback loops_ listening to data consumers & evolving governance.m4a
  • 348. Internal marketing and branding of the governance program.m4a
  • 334. Communities of practice_ running effective forums & brown-bags.m4a
  • 343. Governance retrospectives & continuous improvement cycles.m4a
  • 327. Stakeholder engagement plan - executives to frontline users.m4a
  • 330. Gamification & incentives to drive data stewardship behaviors.m4a
  • 342. Runbooks for steward escalation & issue management.m4a
  • 337. Executive reporting cadence & governance scorecards.m4a
  • 335. Measuring behavior change - adoption KPIs and signals.m4a
  • 340. Embedding governance checks into developer & analyst workflows.m4a
  • 349. Building metrics that matter for adoption vs vanity metrics.m4a
  • 332. Building data literacy at scale - programs and resources.m4a
  • 336. Internal evangelism_ success stories, quick wins, showcases.m4a
  • 328. Communications & storytelling for governance adoption.m4a
  • 331. Change readiness assessment & adoption metrics.m4a
  • 345. Scaling governance across acquisitions & new business units.m4a
  • 338. Handling resistance & common objections to governance.m4a
  • 329. Training programs & role-based curricula for stewards and users.m4a
  • 350. Module 14 Capstone_ Create a 12-month adoption & change plan for enterprise governance.m4a
  • 333. Onboarding playbooks for new hires with governance needs.m4a
  • 344. Knowledge management & centralized governance playbooks.m4a
  • 346. Localized governance adaptations vs global standards - balancing act.m4a
  • 339. Aligning performance reviews & incentives with governance goals.m4a
  • 326. Why culture matters_ embedding governance into daily work.m4a
  • 347. Sustainability of governance programs - funding & renewal strategies.m4a

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

  • Module 15 - Data Governance in Cloud, Multi-cloud & Data Mesh.chapters.txt
  • Module 15 - Data Governance in Cloud, Multi-cloud & Data Mesh.mp4
  • 370. Testing governance at scale in cloud & data mesh environments.m4a
  • 368. Migration governance_ lift & shift vs re-architecting data platforms.m4a
  • 356. Identity federation & unified access in multi-cloud settings.m4a
  • 364. Data mesh contracts & SLAs - ensuring interoperability & governance.m4a
  • 372. Disaster recovery & cross-region governance policies in cloud.m4a
  • 357. Policy enforcement across cloud providers (policy-as-code & IaC checks).m4a
  • 369. Platform engineering teams & governance enablement (self-serve platforms).m4a
  • 359. Data residency & regional compliance governance in cloud deployments.m4a
  • 371. Cost governance_ FinOps for data platforms under governance rules.m4a
  • 355. Governance for multi-cloud data movement & replication.m4a
  • 353. Data mesh and federated governance patterns - principles & governance fit.m4a
  • 358. Catalog & metadata synchronization across cloud services.m4a
  • 367. Security posture & governance automation (compliance-as-code).m4a
  • 354. Domain-oriented decentralization with federated governance guardrails.m4a
  • 374. Governance for hybrid & edge scenarios (on-prem + cloud).m4a
  • 351. Cloud-native governance principles & challenges.m4a
  • 363. Governance automation for ephemeral workloads & serverless pipelines.m4a
  • 352. Data governance for lakehouses, warehouses & data lakes in the cloud.m4a
  • 361. Managing multi-cloud lineage & cross-region impact analysis.m4a
  • 362. Cloud provider features for governance (catalogs, access controls, policies).m4a
  • 365. Observability & SLO governance across distributed cloud pipelines.m4a
  • 375. Module 15 Lab_ Design governance guardrails for a multi-cloud data mesh deployment.m4a
  • 366. Data product ownership in domain teams with central governance support.m4a
  • 373. Vendor lock-in governance & exit planning for cloud services.m4a
  • 360. Network, storage & compute governance cost implications.m4a

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

  • Module 16 - Data Governance Metrics, Reporting & Continuous Improvement.chapters.txt
  • Module 16 - Data Governance Metrics, Reporting & Continuous Improvement.mp4
  • 399. Executive red, amber, green health signals & escalation triggers.m4a
  • 378. Stewardship performance metrics & scorecards.m4a
  • 396. Using metrics to drive stakeholder accountability & commitments.m4a
  • 382. Operational metrics_ ticket volumes, time-to-resolve, automation rates.m4a
  • 393. Feedback-driven improvements_ using consumer surveys & NPS for data products.m4a
  • 384. Integrating governance metrics into business KPIs and OKRs.m4a
  • 390. Measuring ROI of governance initiatives (cost savings, risk avoidance).m4a
  • 379. Catalog usage and discovery metrics - search to consumption funnel.m4a
  • 395. Operationalizing governance KPIs in tooling dashboards & alerts.m4a
  • 377. Data quality KPIs & their business impact.m4a
  • 392. Benchmarking governance performance internally and externally.m4a
  • 386. Continuous improvement cycles_ measure to act to validate to iterate.m4a
  • 394. Governance scorecards by domain & region - balanced view.m4a
  • 387. Data incident metrics & post-mortem analysis framework.m4a
  • 391. Reporting for auditors & regulators - evidence packs & KPIs.m4a
  • 380. Policy compliance metrics (violations, exceptions, enforcement coverage).m4a
  • 397. Data governance health checks & audit frameworks for continuous assurance.m4a
  • 389. Automation opportunities surfaced by governance telemetry.m4a
  • 383. Executive dashboards & periodic governance reporting templates.m4a
  • 398. Alignment of governance reporting with enterprise risk & compliance reporting.m4a
  • 381. Risk metrics_ exposure to sensitive data, ungoverned assets, audit findings.m4a
  • 376. Defining governance success metrics_ adoption, risk reduction, business outcomes.m4a
  • 388. Forecasting governance resourcing needs based on metrics trends.m4a
  • 385. Data maturity trending & health scorecards over time.m4a
  • 400. Module 16 Lab_ Build a governance KPI dashboard & continuous improvement plan.m4a

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

  • Module 17 - Special Topics_ Data Ethics, Responsible AI & Sensitive Data Governance.chapters.txt
  • Module 17 - Special Topics_ Data Ethics, Responsible AI & Sensitive Data Governance.mp4
  • 415. Responsible data sharing for research & public interest uses.m4a
  • 424. Training & awareness for data scientists on governance & ethics.m4a
  • 412. Third-party model & data governance_ supply chain risk for AI.m4a
  • 410. Governance for automated decision systems_ transparency & appeal mechanisms.m4a
  • 418. Establishing ethics KPIs & governance review cycles for AI initiatives.m4a
  • 416. Governance for sensitive analytics (healthcare, credit scoring).m4a
  • 406. Sensitive data governance_ handling PII, PHI, financial and IP data.m4a
  • 419. Governance integration with ML platforms & model registries.m4a
  • 402. Governance for AI_ML datasets - training data provenance & consent.m4a
  • 404. Model lineage & explainability tied to data lineage & governance evidence.m4a
  • 403. Bias detection & mitigation governance for models & data.m4a
  • 409. Consent management for model training & analytics.m4a
  • 417. Legal & regulatory trends around AI & data governance.m4a
  • 423. Transparency reports & stakeholder disclosures for AI systems.m4a
  • 401. Data ethics frameworks and governance implications.m4a
  • 408. Data minimization & purpose limitation for ML & analytics projects.m4a
  • 425. Module 17 Capstone_ Create a governance approach for a responsible AI program.m4a
  • 407. Ethical review boards, data use committees & governance interactions.m4a
  • 413. Data labeling governance_ quality, provenance, bias mitigation measures.m4a
  • 414. Recordkeeping & auditability for model training & inference data pipelines.m4a
  • 422. Scenario planning for AI failures & incident response.m4a
  • 420. Human-in-the-loop governance & escalation processes for automated systems.m4a
  • 421. Privacy-preserving ML patterns under governance.m4a
  • 405. Governance for synthetic data & privacy-preserving techniques.m4a
  • 411. Monitoring model drift and governed retraining workflows.m4a

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

  • Module 18 - Implementation, Rollout & Program Delivery.chapters.txt
  • Module 18 - Implementation, Rollout & Program Delivery.mp4
  • 440. Training & enablement at rollout - bootcamps, office hours, docs.m4a
  • 438. SLA definitions for governance services (support, onboarding).m4a
  • 430. Delivery methodologies - agile governance delivery & sprints.m4a
  • 437. Runbook creation, operational support & escalation paths.m4a
  • 435. Cutover & migration strategies for governed platforms.m4a
  • 447. Change control & release governance for data governance artifacts.m4a
  • 444. Knowledge transfer & long-term sustainability planning.m4a
  • 442. Contract & vendor management during delivery (SOW, SLAs, milestones).m4a
  • 441. Adoption tracking & iterative improvement during rollout.m4a
  • 436. Pilot to production transition & scale considerations.m4a
  • 443. Internal consultancy operating model_ enablement, build vs buy decisions.m4a
  • 449. Measuring success_ outcomes, KPIs, stakeholder satisfaction.m4a
  • 431. Program governance_ steering committee, PMO interfaces.m4a
  • 434. Managing dependencies_ cross-functional & toolchain dependencies.m4a
  • 446. Continuous roadmap planning & governance backlog management.m4a
  • 427. Roadmapping_ incremental vs big-bang implementation strategies.m4a
  • 428. Pilot design_ scope, metrics, rapid feedback loops.m4a
  • 432. Technical delivery patterns_ integrations, APIs, orchestration, automation.m4a
  • 426. Governance program initiation_ pilots, sponsors, success criteria.m4a
  • 445. Post-implementation audits, governance refresh & steady state operations.m4a
  • 448. Community governance for feedback & continuous evangelism post-rollout.m4a
  • 439. Risk management for implementation projects (change, data, vendor).m4a
  • 429. Resource planning, skill gaps & hiring plan for delivery.m4a
  • 433. Data product releases_ rollout, validation, user acceptance.m4a
  • 450. Module 18 Capstone_ Create an implementation & rollout plan for enterprise governance adoption.m4a

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

  • Module 19 - Case Studies, Industry Patterns & Best Practices.chapters.txt
  • Module 19 - Case Studies, Industry Patterns & Best Practices.mp4
  • 464. Case study_ catalog-driven governance enabling self-service analytics.m4a
  • 465. Case study_ governance for a merger & acquisition integration.m4a
  • 457. Public sector_ governance for citizen data & compliance transparency.m4a
  • 463. Case study_ MDM implementation with governance integration.m4a
  • 462. Case study_ data mesh adoption with central governance guardrails.m4a
  • 475. Module 19 Capstone_ Write a case study & lessons learned report for a governance rollout.m4a
  • 458. Telecom_ governance for network & customer data at scale.m4a
  • 453. Retail & CPG_ governance for customer, supply chain & inventory data.m4a
  • 472. Executive briefing templates & board-ready governance slides.m4a
  • 451. Banking & Financial Services_ governance for risk & compliance data.m4a
  • 455. Manufacturing_ governance for product, quality & operational telemetry data.m4a
  • 474. Playbooks for rapid governance acceleration in 90_180_365 days.m4a
  • 473. Benchmarks & KPIs observed across industries.m4a
  • 454. Energy & Utilities_ governance for asset, consumption & regulatory reporting data.m4a
  • 467. Governance playbooks for crisis & incidents (breaches, audit findings).m4a
  • 468. Designing governance for regulated vs non-regulated business lines.m4a
  • 456. Tech & SaaS_ governance for product telemetry, user data & analytics platforms.m4a
  • 471. Governance operating model templates by industry & size.m4a
  • 461. Case study_ governance in a cloud-first migration program.m4a
  • 459. Media & AdTech_ governance for identity, targeting, and privacy controls.m4a
  • 452. Healthcare_ governance for PHI, longitudinal records & research data.m4a
  • 470. Best practices collection_ policies, templates, checklists.m4a
  • 466. Lessons learned_ common anti-patterns and how to avoid them.m4a
  • 460. Case study_ scaling governance across global divisions.m4a
  • 469. Vendor & tool consolidation case studies - economics & outcomes.m4a

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

  • Module 20 - Templates, Playbooks, Certification & Next Steps.chapters.txt
  • Module 20 - Templates, Playbooks, Certification & Next Steps.mp4
  • 486. Training curriculum & slide decks for steward & user onboarding.m4a
  • 498. Next steps checklist_ extend, scale, audit, optimize governance program.m4a
  • 495. Pack of 10 ready-to-use governance automation scripts (policy checks, alerts, onboarding).m4a
  • 484. DSAR handling & privacy request workflow templates.m4a
  • 500. Graduation & certification issuance; alumni, community, and continuous improvement loop.m4a
  • 481. MDM design & reconciliation template (matching rules, survivorship).m4a
  • 496. Executive-ready one-pager_ governance benefits & KPIs for board presentation.m4a
  • 490. Sample project plan (90_180_365 day) and resource plan for governance rollout.m4a
  • 491. Certification blueprint_ exam outline & competencies for Governance Practitioners.m4a
  • 482. Contract & API spec template for data products & contracts.m4a
  • 488. Implementation checklist & migration playbook templates (legacy to governed platform).m4a
  • 485. Audit evidence & compliance pack templates for regulators & auditors.m4a
  • 492. Sample exam questions & mock assessment for governance certification.m4a
  • 487. Governance KPI dashboard templates & reporting packs for executives.m4a
  • 493. Alumni & community pack_ mentorship, slack_forum, playbook updates.m4a
  • 497. Future-readiness_ governance for AI, synthetic data, edge & IoT data sources.m4a
  • 479. Data catalog & metadata model templates (entity types, attributes, tags).m4a
  • 476. Governance kickoff pack_ charter, RACI, sponsor letters & comms templates.m4a
  • 480. Data quality rule & SLA template pack (checks, thresholds, actions).m4a
  • 489. Governance tooling checklist & RFP _ vendor evaluation template.m4a
  • 494. Continuous learning plan & update cadence for governance artifacts.m4a
  • 478. Stewardship playbook & runbook templates (onboard, triage, remediate).m4a
  • 499. Final Project_ Deliver a fully-documented Governance Program (policies, tools, pilots, metrics).m4a
  • 477. Policy template pack_ classification, retention, access, DQ templates.m4a
  • 483. Incident & breach response playbook templates (roles, timelines, comms).m4a

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

  • Module 21 - Data Quality Masterclass (Functional).chapters.txt
  • Module 21 - Data Quality Masterclass (Functional).mp4
  • 520. DQ rules & thresholds.m4a
  • 508. Issue Management Policy.m4a
  • 510. Glossary creation.m4a
  • 529. Scorecard design.m4a
  • 501. Banking, Healthcare & Fintech case studies.m4a
  • 521. DQ expectations_ business vs technical.m4a
  • 517. Case study_ Reporting lineage.m4a
  • 518. What is Data Quality.m4a
  • 515. Why lineage matters.m4a
  • 509. Escalation & Accountability Model.m4a
  • 525. Ownership & remediation.m4a
  • 526. How to build a DQ framework.m4a
  • 511. Definitions & standards.m4a
  • 528. Issue taxonomy.m4a
  • 516. Metadata lifecycle.m4a
  • 502. Why Data Governance Exists.m4a
  • 514. Functional vs technical lineage.m4a
  • 506. Governance Committee Structure.m4a
  • 523. Validity, uniqueness, consistency.m4a
  • 527. DQ controls, KPIs, SLAs.m4a
  • 513. Using Collibra_Alation (tool-agnostic demos).m4a
  • 524. Soft vs hard checks.m4a
  • 522. Rule templates.m4a
  • 519. Six dimensions of Data Quality.m4a
  • 505. Operating Model (Centralized, Federated, Hybrid, Hub-and-Spoke).m4a
  • 512. Stewardship workflows.m4a
  • 504. Data Roles & Responsibilities (Steward, Owner, Custodian, DG Lead).m4a
  • 503. Business Value of Governance.m4a
  • 507. Data Policy Framework.m4a