Hitachi Vantara Qualified Professional - Pre-sales Data Analytics Foundation - HQT-2900

Hitachi HQT-2900 test insides dumps
  • Exam Code: HQT-2900
  • Exam Name: Hitachi Vantara Qualified Professional - Pre-sales Data Analytics Foundation
  • Updated: Jul 25, 2026
  • Q & A: 0 Questions and Answers

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Hitachi HQT-2900 Exam Syllabus Topics:
SectionObjectives
Pentaho Business Analytics- Self-service analytics
  • 1. Interactive visualization (Analyzer)
    • 2. Drill-down and exploration
      - Reporting and dashboards
      • 1. Embedded analytics
        • 2. Pixel-perfect reporting
          Data Analytics Foundations- Data Quality Concepts
          • 1. Impact of data quality on analytics and AI
            • 2. Data profiling and cleansing concepts
              - Enterprise Data Challenges
              • 1. Data governance fundamentals
                • 2. Data silos and AI readiness
                  Data Integration (PDI)- ETL Concepts
                  • 1. Incremental load and CDC
                    • 2. Extract, Transform, Load fundamentals
                      - Transformation Techniques
                      • 1. Joins and merge operations
                        • 2. Data standardization and scripting
                          Data Optimization (PDO)- Storage optimization
                          • 1. Cold data identification
                            • 2. Data tiering to lower-cost storage
                              Pentaho+ Platform Overview- Core platform capabilities
                              • 1. Data ingestion and integration (PDI)
                                • 2. Data quality management (PDQ)
                                  • 3. Data optimization and tiering (PDO)
                                    • 4. Catalog and metadata management (PDC)
                                      Data Catalog and Governance- Lineage and compliance
                                      • 1. Data lineage visualization
                                        • 2. Impact analysis for changes
                                          - Metadata management
                                          • 1. Automated data discovery
                                            • 2. Data dictionary generation

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