Hitachi HQT-2900 Q&A - in .pdf

  • Exam Code: HQT-2900
  • Exam Name: Hitachi Vantara Qualified Professional - Pre-sales Data Analytics Foundation
  • Updated: Sep 09, 2026
  • Q & A: 0 Questions and Answers
  • PDF Price: $888.00
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Hitachi HQT-2900 Q&A - Testing Engine

  • Exam Code: HQT-2900
  • Exam Name: Hitachi Vantara Qualified Professional - Pre-sales Data Analytics Foundation
  • Updated: Sep 09, 2026
  • Q & A: 0 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $888.00
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Hitachi HQT-2900 Exam Syllabus Topics:
SectionObjectives
Topic 1: Data Catalog and Governance- Metadata management
  • 1. Data dictionary generation
    • 2. Automated data discovery
      - Lineage and compliance
      • 1. Data lineage visualization
        • 2. Impact analysis for changes
          Topic 2: 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
                  Topic 3: Data Optimization (PDO)- Storage optimization
                  • 1. Data tiering to lower-cost storage
                    • 2. Cold data identification
                      Topic 4: 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
                              Topic 5: 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
                                      Topic 6: Pentaho+ Platform Overview- Core platform capabilities
                                      • 1. Data ingestion and integration (PDI)
                                        • 2. Data optimization and tiering (PDO)
                                          • 3. Data quality management (PDQ)
                                            • 4. Catalog and metadata management (PDC)

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