Hitachi HQT-2900 real exam prep : Hitachi Vantara Qualified Professional - Pre-sales Data Analytics Foundation

  • Exam Code: HQT-2900
  • Exam Name: Hitachi Vantara Qualified Professional - Pre-sales Data Analytics Foundation
  • Updated: Sep 14, 2026
  • Q&As: 0 Questions and Answers

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Hitachi HQT-2900 Exam Syllabus Topics:

SectionObjectives
Data Catalog and Governance- Metadata management
  • 1. Automated data discovery
    • 2. Data dictionary generation
      - Lineage and compliance
      • 1. Data lineage visualization
        • 2. Impact analysis for changes
          Pentaho Business Analytics- Self-service analytics
          • 1. Drill-down and exploration
            • 2. Interactive visualization (Analyzer)
              - Reporting and dashboards
              • 1. Pixel-perfect reporting
                • 2. Embedded analytics
                  Pentaho+ Platform Overview- Core platform capabilities
                  • 1. Data ingestion and integration (PDI)
                    • 2. Catalog and metadata management (PDC)
                      • 3. Data quality management (PDQ)
                        • 4. Data optimization and tiering (PDO)
                          Data Analytics Foundations- Enterprise Data Challenges
                          • 1. Data silos and AI readiness
                            • 2. Data governance fundamentals
                              - Data Quality Concepts
                              • 1. Impact of data quality on analytics and AI
                                • 2. Data profiling and cleansing concepts
                                  Data Integration (PDI)- ETL Concepts
                                  • 1. Extract, Transform, Load fundamentals
                                    • 2. Incremental load and CDC
                                      - Transformation Techniques
                                      • 1. Data standardization and scripting
                                        • 2. Joins and merge operations
                                          Data Optimization (PDO)- Storage optimization
                                          • 1. Data tiering to lower-cost storage
                                            • 2. Cold data identification

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