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| Section | Weight | Objectives |
|---|---|---|
| Hitachi Vantara Data Analytics Solutions | 35% | - Analytics integration with Hitachi storage and infrastructure - Solution use cases for enterprise workloads - Pentaho platform overview and capabilities |
| Solution Design & Technical Considerations | 10% | - Scalability, performance, and security factors - Basic architecture and deployment options |
| Data Analytics Fundamentals | 30% | - Types of analytics: descriptive, diagnostic, predictive, prescriptive - Data lifecycle: collection, integration, processing, storage - Big data concepts and characteristics - Data modeling and visualization basics |
| Pre-sales Methodology & Customer Engagement | 25% | - Identifying customer business and technical requirements - Mapping requirements to Hitachi analytics offerings - Solution value proposition and ROI communication |
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