1. What Is MDM — Definitions & Scope
2. Why MDM Matters: Business Benefits & Risks
3. Domains of Master Data: Customer, Product, Supplier, Location, Finance
4. Principles of Good Master Data: Accuracy, Consistency, Completeness, Uniqueness
5. Data Quality Fundamentals in MDM Context
6. Master Data vs Transaction Data vs Reference Data
7. Metadata, Data Dictionaries & Taxonomies
8. Data Governance Framework for MDM
9. Organizational Roles: Data Stewards, Data Owners, MDM Architect
10. MDM Lifecycle Overview
11. MDM Use Cases: 360° Customer View, Single Source of Truth
12. Reference Data Management — Standards & Code Lists
13. Data Lineage & Provenance in MDM
14. Data Models: Relational, ER, Graph — For Master Data
15. Unique Identifiers & Surrogate Keys Strategy
16. Data Matching & De-duplication Concepts
17. Identity Resolution & Master Record Linking
18. Hierarchy Management (Customer & Product hierarchies)
19. Data Ownership & Stewardship Governance
20. MDM Policy & Standards Drafting
21. Change Management & Versioning of Master Data
22. MDM Program Roadmap Planning
23. MDM Maturity Models & KPIs
24. Common Pitfalls & Failures in MDM Initiatives
25. Capstone: Define MDM Scope & Domain — Mock Project
26. MDM Architectural Styles: Consolidation, Registry, Coexistence, Transactional Hub
27. Centralized vs Decentralized MDM Architecture
28. Hybrid MDM Models — When to Use What
29. Data Integration Patterns for MDM
30. ETL/ELT vs Real-time Integration for Master Data
31. Message-based vs Batch Synchronization
32. Data Hub Architecture: Components & Flow
33. Hub-and-Spoke vs Bus Architecture
34. SOA for Master Data Services
35. API-first vs Database-first MDM Design
36. Event-driven MDM: CDC & Streams
37. Reference Data Services & Distribution Layers
38. MDM in Microservices Architecture — Best Practices
39. Data Virtualization vs Physical Consolidation
40. Logical vs Physical MDM Implementation
41. Data Model Design Patterns (Normalized vs Denormalized)
42. Schema Evolution & Versioning Strategies
43. Partitioning, Sharding & Multi-tenant Design
44. Scalability & Performance Considerations
45. Governance & Security Layers in MDM Architecture
46. Data Lineage & Audit Trail Design
47. High Availability & Disaster Recovery
48. Multi-region & Multi-cloud Deployment Patterns
49. Architecture Documentation Standards
50. Capstone: Draft an MDM Architecture Blueprint
51. Data Source Identification & Profiling
52. Data Source Onboarding Process
53. Source System Connectivity: Databases, Files, APIs, Streams
54. Data Extraction Methods: Full, Incremental, CDC
55. Data Transformation & Standardization
56. Data Mapping & Field-level Mapping Strategies
57. Data Validation & Cleansing Techniques
58. Data Enrichment & Reference Data Lookup
59. Handling Nulls, Defaults & Missing Values
60. Data Matching & De-duplication Algorithms
61. Identity Resolution & Matching Thresholds
62. Survivorship Rules & Conflict Resolution
63. Hierarchy & Relationship Mapping
64. Data Merge & Consolidation Workflows
65. Real-time vs Batch Ingestion for MDM
66. API-based Ingestion for Master Data
67. Streaming & Event-driven Ingestion
68. Data Quality Checks at Ingestion
69. Logging, Audit Trails & Error Handling
70. Data Versioning & History Tracking
71. Incremental Load Strategies
72. Rollback & Correction Frameworks
73. Monitoring & Alerting for Integration
74. Source System Governance & SLAs
75. Capstone: Build an Ingestion Pipeline for Master Data