97. Catalog scalability & multi-cloud support considerations.m4a
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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