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| Section | Weight | Objectives |
|---|---|---|
| Entity Resolution & Matching | 15% | - Surviving record identification - Configuring identification analysis - Building match codes and clustering strategies |
| Advanced Techniques | 8% | - Implementing macro variables and reusable logic - Using Expression Engine Language (EEL) |
| Business Rules & Monitoring | 12% | - Scheduling and running jobs on Data Management Server - Creating and managing business rules - Designing monitoring jobs and alerts |
| DataFlux Methodology & Environment | 20% | - Connecting to data sources and creating data collections - Navigating Data Management Studio interface - Understanding Plan, Act, Monitor phases |
| Data Standardization & Quality Knowledge Base | 20% | - Parsing, right-fielding, and transformation logic - Creating standardization schemes - Working with Quality Knowledge Base (QKB) |
| Data Exploration & Profiling | 25% | - Building and running data explorations - Configuring and interpreting data profiles - Identifying data anomalies and quality issues |
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