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| Section | Objectives | Weight |
|---|---|---|
| Data Security | -Determine encryption requirements and/or implementation technologies -Choose the appropriate technology to enforce data governance -Identify how to ensure data integrity -Evaluate regulatory requirements | 20% |
| Analysis | -Determine the tools and techniques required for analysis -Determine how to design and architect the analytical solution -Determine and optimize the operational characteristics of the Analysis | 17% |
| Collection | -Determine the operational characteristics of the collection system -Select a collection system that handles the frequency of data change and type of data being ingested -Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc. -Explain the durability and availability characteristics for the collection approach | 17% |
| Visualization | -Determine the appropriate techniques for delivering the results/output -Determine how to design and create the Visualization platform -Determine and optimize the operational characteristics of the Visualization system | 12% |
| Storage | -Determine and optimize the operational characteristics of the storage solution -Determine data access and retrieval patterns -Evaluate mechanisms for capture, update, and retrieval of catalog entries -Determine appropriate data structure and storage format | 17% |
| Processing | -Identify the appropriate data processing technology for a given scenario -Determine how to design and architect the data processing solution -Determine the operational characteristics of the solution implemented | 17% |
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Domain 4: Data Analysis | 17% | - Optimize query performance and analysis workflows - Implement analytical operations and transformations - Determine tools and techniques for analysis - Design and architect analytical solutions |
| Topic 2: Domain 6: Data Security | 20% | - Apply security best practices for big data workloads - Determine encryption requirements and methods - Implement data governance and access control - Ensure data integrity and compliance |
| Topic 3: Domain 5: Data Visualization | 12% | - Ensure accessibility and clarity of presented results - Determine appropriate visualization techniques and tools - Design and build visualization platforms and dashboards - Optimize operational characteristics of visualization systems |
| Topic 4: Domain 3: Data Processing | 17% | - Design and architect data processing solutions - Determine operational characteristics of processing systems - Select appropriate processing frameworks and services - Optimize processing performance and cost efficiency |
| Topic 5: Domain 2: Data Storage | 17% | - Identify data access and retrieval patterns - Evaluate mechanisms for cataloging and metadata management - Choose appropriate data structures and storage formats - Determine and optimize operational characteristics of storage solutions |
| Topic 6: Domain 1: Data Collection | 17% | - Identify properties including order, structure, and metadata - Determine operational characteristics of collection systems - Describe availability and durability of collection methods - Select appropriate collection systems based on data type and frequency |
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