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Hitachi HQT-2900 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          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 Integration (PDI)- Transformation Techniques
                  • 1. Data standardization and scripting
                    • 2. Joins and merge operations
                      - ETL Concepts
                      • 1. Incremental load and CDC
                        • 2. Extract, Transform, Load fundamentals
                          Topic 4: Data Optimization (PDO)- Storage optimization
                          • 1. Data tiering to lower-cost storage
                            • 2. Cold data identification
                              Topic 5: Pentaho Business Analytics- Self-service analytics
                              • 1. Interactive visualization (Analyzer)
                                • 2. Drill-down and exploration
                                  - Reporting and dashboards
                                  • 1. Pixel-perfect reporting
                                    • 2. Embedded analytics
                                      Topic 6: Pentaho+ Platform Overview- Core platform capabilities
                                      • 1. Data optimization and tiering (PDO)
                                        • 2. Catalog and metadata management (PDC)
                                          • 3. Data quality management (PDQ)
                                            • 4. Data ingestion and integration (PDI)

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