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Hitachi HQT-2900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Analytics Fundamentals | 30% | - Data lifecycle: collection, integration, processing, storage - Data modeling and visualization basics - Types of analytics: descriptive, diagnostic, predictive, prescriptive - Big data concepts and characteristics |
| Pre-sales Methodology & Customer Engagement | 25% | - Identifying customer business and technical requirements - Solution value proposition and ROI communication - Mapping requirements to Hitachi analytics offerings |
| Solution Design & Technical Considerations | 10% | - Basic architecture and deployment options - Scalability, performance, and security factors |
| Hitachi Vantara Data Analytics Solutions | 35% | - Analytics integration with Hitachi storage and infrastructure - Pentaho platform overview and capabilities - Solution use cases for enterprise workloads |



