Hitachi HQT-2900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hitachi Vantara Data Analytics Solutions | 35% | - Solution use cases for enterprise workloads - Pentaho platform overview and capabilities - Analytics integration with Hitachi storage and infrastructure |
| Topic 2: Data Analytics Fundamentals | 30% | - Big data concepts and characteristics - Data lifecycle: collection, integration, processing, storage - Types of analytics: descriptive, diagnostic, predictive, prescriptive - Data modeling and visualization basics |
| Topic 3: Pre-sales Methodology & Customer Engagement | 25% | - Mapping requirements to Hitachi analytics offerings - Identifying customer business and technical requirements - Solution value proposition and ROI communication |
| Topic 4: Solution Design & Technical Considerations | 10% | - Basic architecture and deployment options - Scalability, performance, and security factors |














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