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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Collection | 18% | - Design and implement data ingestion solutions - Ingest data from various sources |
| Topic 2: Storage and Data Management | 22% | - Design data storage solutions - Optimize data storage for cost and performance |
| Topic 3: Processing | 24% | - Transform and prepare data for analytics - Design and implement data processing pipelines |
| Topic 4: Security | 18% | - Apply governance and compliance controls - Secure data throughout lifecycle |
| Topic 5: Analysis and Visualization | 18% | - Create data visualizations and dashboards - Build and implement analytics solutions |
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