MODULE 3 — Data Integration & Ingestion for MDM (Ch 51–75)
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