$1,499

Enterprise Data Governance Master Program

Course
591 Lessons

A practical, enterprise-ready curriculum covering governance strategy, operating models, metadata, MDM, privacy, tooling and implementation - designed for self-paced learners Disclaimer: Digital products are non-refundable. After-sales support, mentoring, consulting, and implementation assistance are not included. 📞 WhatsApp: +91 9560116736 for discount

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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

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Module 01 - Foundations of Enterprise Data Governance.mp4

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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

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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

67. Translating policy into automated controls & checks.m4a

63. Policy exceptions, waivers & audit trails.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

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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

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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

Preview

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

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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

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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

187. Breach response & notification workflows integrated with governance.m4a

177. Data protection by design & default - governance implications.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

207. Lineage visualization patterns & UX design for stakeholders.m4a

216. Observability for streaming vs batch pipelines - design differences.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