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Hitachi HQT-2900 Exam Syllabus Topics:
| Section | Objectives |
|---|
| Topic 1: Data Optimization (PDO) | - Storage optimization
- 1. Data tiering to lower-cost storage
- 2. Cold data identification
|
| Topic 2: Data Analytics Foundations | - Enterprise Data Challenges
- 1. Data governance fundamentals
- 2. Data silos and AI readiness
- Data Quality Concepts
- 1. Impact of data quality on analytics and AI
- 2. Data profiling and cleansing concepts
|
| Topic 3: 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
|
| Topic 4: 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 5: Pentaho+ Platform Overview | - Core platform capabilities
- 1. Catalog and metadata management (PDC)
- 2. Data ingestion and integration (PDI)
- 3. Data quality management (PDQ)
- 4. Data optimization and tiering (PDO)
|
| Topic 6: Pentaho Business Analytics | - Reporting and dashboards
- 1. Embedded analytics
- 2. Pixel-perfect reporting
- Self-service analytics
- 1. Interactive visualization (Analyzer)
- 2. Drill-down and exploration
|
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