500 Chapters • Informatica MDM SaaS

Informatica MDM SaaS
500‑Chapter Solution Architect Program

An enterprise‑grade, job‑oriented program designed to take you from zero MDM background to MDM Solution Architect. Covers business, architecture, SaaS, security, governance, integration and delivery.

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Course Snapshot

  • • 20 modules × 25 chapters = 500 chapters
  • • Informatica MDM SaaS (IDMC, Business 360)
  • • Solution Architecture, Security & EA aligned
  • • Hands‑on labs, architecture documents & capstones
  • • Interview & job‑readiness included
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Curriculum — 20 Modules, 500 Chapters

Expand any module to view all 25 chapters. Each chapter maps to architect-level responsibilities, hands-on labs and interview readiness.

MODULE 1: Enterprise Data & MDM Foundations (Ch 1–25)
1. Enterprise data problems in large organizations
2. Why master data breaks at scale
3. Master vs transactional vs analytical data
4. Reference data fundamentals
5. Cost of poor master data
6. ERP and CRM limitations
7. Enterprise architecture basics
8. Role of MDM in EA
9. Business drivers for MDM
10. Regulatory and compliance drivers
11. Industry examples — Automotive
12. Industry examples — Banking
13. Industry examples — Retail
14. Digital transformation & data
15. MDM myths & misconceptions
16. MDM success stories
17. MDM failure patterns
18. MDM maturity models
19. MDM stakeholders
20. MDM operating models
21. Solution Architect responsibilities
22. IT vs Business alignment
23. SaaS vs On‑prem MDM
24. Modern cloud data ecosystems
25. Module 1 Capstone
MODULE 2: Core MDM Concepts & Patterns (Ch 26–50)
26. Golden record concepts
27. Golden record lifecycle
28. Systems of record
29. Systems of engagement
30. Centralized MDM
31. Registry MDM
32. Co‑existence MDM
33. Hybrid MDM models
34. Single vs multi‑domain MDM
35. Match strategies
36. Deterministic matching
37. Probabilistic matching
38. Survivorship rules
39. Trust scoring
40. Hierarchies & relationships
41. Operational MDM
42. Analytical MDM
43. Batch MDM
44. Real‑time MDM
45. Event‑driven MDM
46. MDM SLAs
47. MDM KPIs
48. Scaling MDM
49. Common design mistakes
50. Module 2 Capstone
MODULE 3: Master & Reference Data Modeling (Ch 51–75)
51. Logical vs physical models
52. Canonical data models
53. Customer data model
54. Household modeling
55. Organization modeling
56. Supplier master model
57. Product master model
58. Vehicle master model
59. Asset master data
60. Location & address modeling
61. Identifier strategies
62. Global vs local IDs
63. Cross‑reference tables
64. Hierarchy modeling
65. Relationship types
66. Time‑variant data
67. SCD handling
68. Attribute survivorship
69. Data normalization
70. Performance considerations
71. Model extensibility
72. Model governance
73. Model versioning
74. Model documentation
75. Module 3 Capstone
MODULE 4: Informatica MDM SaaS Architecture (Ch 76–100)
76. Informatica IDMC platform overview
77. Business 360 architecture
78. Customer 360 architecture
79. Product 360 overview
80. SaaS tenancy model
81. Environment strategy
82. Dev/Test/Prod isolation
83. Ingestion architecture
84. Match engine internals
85. Merge processing
86. Survivorship pipelines
87. Hierarchy services
88. API services
89. Stewardship UI
90. Security architecture
91. Authentication
92. Authorization & RBAC
93. Audit & lineage
94. Error handling
95. Performance tuning
96. Scalability patterns
97. SaaS limitations
98. Upgrade strategy
99. DR & backup
100. Module 4 Capstone
MODULE 5: Informatica MDM SaaS Configuration (Ch 101–125)
101. Domain creation
102. Attribute configuration
103. Source onboarding
104. Batch ingestion
105. API ingestion
106. Standardization rules
107. Parsing & cleansing
108. Match rule design
109. Threshold tuning
110. Survivorship rules
111. Trust framework
112. Merge scenarios
113. Split scenarios
114. Exception handling
115. Stewardship queues
116. Workflow design
117. Manual overrides
118. Hierarchy setup
119. Relationship config
120. Reference data
121. Error reprocessing
122. Testing strategy
123. Deployment
124. Hypercare
125. Module 5 Capstone
MODULE 6: Integration Architecture (Ch 126–150)
126. Integration landscape
127. ERP integration
128. CRM integration
129. PLM integration
130. Legacy systems
131. API-led design
132. REST best practices
133. Sync vs async
134. Event-driven MDM
135. Kafka basics
136. CDC patterns
137. Downstream feeds
138. Latency handling
139. Consistency models
140. Retry strategies
141. Idempotency
142. Security
143. Token management
144. Throttling
145. Monitoring
146. SLA management
147. Integration testing
148. Cutover
149. Risk handling
150. Module 6 Capstone
MODULE 7: Cloud, Security & Compliance (Ch 151–175)
151. Shared responsibility
152. AWS patterns
153. Azure patterns
154. Network security
155. IAM integration
156. Encryption at rest
157. Encryption in transit
158. Key management
159. Data masking
160. PII handling
161. GDPR fundamentals
162. Consent mgmt
163. Right to erasure
164. Audit trails
165. Logging
166. Threat modeling
167. Risk mitigation
168. Pen testing
169. Compliance audits
170. Incident response
171. DR design
172. RTO/RPO
173. Resilience
174. Security KPIs
175. Module 7 Capstone
MODULE 8: Governance & Operating Model (Ch 176–200)
176. Governance principles
177. Ownership models
178. Stewardship roles
179. Councils
180. Decision rights
181. Policy hierarchy
182. Standards
183. DQ SLAs
184. Issue mgmt
185. Escalations
186. Agile governance
187. Governance tooling
188. Metrics
189. Dashboards
190. Remediation
191. Vendor governance
192. Data contracts
193. Compliance alignment
194. Audit readiness
195. Change mgmt
196. Training
197. Adoption
198. Maturity assessment
199. Continuous improvement
200. Module 8 Capstone
MODULE 9: Solution Architecture & EA Alignment (Ch 201–225)
201. NFRs
202. Performance design
203. Availability
204. Scalability
205. Security tradeoffs
206. Cost tradeoffs
207. ADRs
208. Alternative solutions
209. Risk analysis
210. TOGAF-lite
211. Target architecture
212. Transition states
213. Principles
214. Roadmaps
215. MVP vs strategy
216. Reviews
217. Governance
218. Compliance
219. Documentation
220. Executive decks
221. Decision rationale
222. Quality assurance
223. Architecture KPIs
224. Continuous alignment
225. Module 9 Capstone
MODULE 10: Agile Delivery & Stakeholders (Ch 226–250)
226. Agile fundamentals
227. Scrum roles
228. Backlog design
229. User stories
230. Architecture in agile
231. MVP definition
232. Ambiguity handling
233. Stakeholder mapping
234. Communication
235. Executive alignment
236. Conflict resolution
237. Vendor coordination
238. SI governance
239. Timeline pressure
240. Multi-stream delivery
241. Global teams
242. Documentation
243. Knowledge transfer
244. Go-live planning
245. Hypercare
246. Metrics
247. Benefits tracking
248. Retrospectives
249. Improvement loops
250. Module 10 Capstone
MODULE 11: Vendor, SI & COTS Management (Ch 251–275)
251. Vendor landscape
252. Informatica vs Reltio
253. Informatica vs TIBCO
254. Selection criteria
255. RFP process
256. PoC strategy
257. Evaluation
258. Licensing models
259. Contracting
260. SI roles
261. Governance model
262. Delivery quality
263. Escalations
264. Risk mgmt
265. Commercial tradeoffs
266. Roadmap alignment
267. Vendor KPIs
268. Performance reviews
269. Upgrade planning
270. Support models
271. Global delivery
272. Exit strategies
273. Knowledge retention
274. Long-term partnership
275. Module 11 Capstone
MODULE 12: Industry Use Cases (Ch 276–300)
276. Automotive MDM
277. Vehicle-customer links
278. Dealer networks
279. Banking customer MDM
280. KYC & AML
281. Retail product MDM
282. Omnichannel
283. Energy trading
284. Asset hierarchies
285. Healthcare MDM
286. Provider master
287. Insurance MDM
288. Policy holders
289. Telecom MDM
290. Subscriber data
291. Manufacturing
292. BOM masters
293. Public sector
294. Citizen data
295. Cross-industry patterns
296. Regulatory differences
297. Scaling by industry
298. Best practices
299. Lessons learned
300. Module 12 Capstone
MODULE 13: Performance, Scalability & Optimization (Ch 301–325)
301. Performance baselines
302. Load patterns
303. Indexing strategies
304. Match tuning
305. Batch optimization
306. Parallelism
307. API scaling
308. Caching
309. Queue mgmt
310. Memory mgmt
311. JVM tuning
312. SaaS limits
313. Cost optimization
314. Monitoring
315. Alerts
316. Capacity planning
317. Stress testing
318. Bottleneck analysis
319. Remediation
320. Continuous tuning
321. KPIs
322. Reporting
323. Review cycles
324. Optimization roadmap
325. Module 13 Capstone
MODULE 14: Documentation & Architecture Artifacts (Ch 326–350)
326. Solution landscapes
327. Logical diagrams
328. Physical diagrams
329. Data flow diagrams
330. Integration diagrams
331. Security views
332. Deployment views
333. ADR writing
334. Decision logs
335. Tradeoff docs
336. Risk registers
337. Architecture decks
338. Exec summaries
339. Standards
340. Templates
341. Version control
342. Reviews
343. Sign-offs
344. Knowledge base
345. Reuse
346. Audit packs
347. Compliance docs
348. Maintenance
349. Continuous update
350. Module 14 Capstone
MODULE 15: Program Recovery & Modernization (Ch 351–375)
351. Failing programs
352. Root cause analysis
353. Recovery planning
354. Re-architecture
355. Legacy modernization
356. Cloud migration
357. Data migration
358. Cutover
359. Risk mitigation
360. Stakeholder reset
361. Governance reset
362. Quality reset
363. Timeline recovery
364. Budget recovery
365. Vendor reset
366. Communication
367. Lessons learned
368. Preventive measures
369. Resilience design
370. Monitoring
371. KPIs
372. Continuous improvement
373. Future-proofing
374. Documentation
375. Module 15 Capstone
MODULE 16: Leadership & Architect Mindset (Ch 376–400)
376. Architect role
377. Decision-making
378. Influence
379. Executive presence
380. Communication
381. Storytelling
382. Conflict mgmt
383. Negotiation
384. Mentoring
385. Coaching
386. Team leadership
387. Cross-functional work
388. Time mgmt
389. Pressure handling
390. Ethics
391. Accountability
392. Trust building
393. Career growth
394. Principal architect
395. EA collaboration
396. Thought leadership
397. Industry forums
398. Certifications
399. Continuous learning
400. Module 16 Capstone
MODULE 17: Advanced MDM & Future Trends (Ch 401–425)
401. Data mesh vs MDM
402. Hybrid models
403. Event sourcing
404. Streaming MDM
405. AI in MDM
406. ML matching
407. Automation
408. No-code tools
409. Cloud-native patterns
410. Vendor roadmaps
411. Open standards
412. Interoperability
413. Future compliance
414. Privacy evolution
415. Ethics
416. Sustainability
417. Cost models
418. Platform strategy
419. Ecosystems
420. Partner models
421. Global scale
422. Resilience
423. Innovation labs
424. Continuous adaptation
425. Module 17 Capstone
MODULE 18: Interview & Job Readiness (Ch 426–450)
426. Interview formats
427. MDM explanations
428. SaaS explanations
429. Architecture whiteboarding
430. AS-IS to TO-BE
431. Security answers
432. Governance answers
433. Integration answers
434. Cloud answers
435. Ambiguity stories
436. Stakeholder stories
437. Vendor stories
438. Failure stories
439. Recovery stories
440. Resume building
441. LinkedIn
442. Portfolio
443. Case studies
444. Mock interview 1
445. Mock interview 2
446. Mock interview 3
447. Behavioral Qs
448. Negotiation
449. Offers
450. Module 18 Capstone

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