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| Section | Objectives |
|---|---|
| Topic 1: Performance Optimisation and Modern Architectures | - Real-time analytics and big data integration - Cloud-based data warehousing and modern platform considerations - Query performance, indexing and partitioning strategies |
| Topic 2: ETL and Data Integration | - Data quality and integration techniques - Extract, Transform, Load processes and tools - Handling metadata and lineage in warehousing |
| Topic 3: Data Warehousing Fundamentals | - Data storage concepts and scalability considerations - Architectural models (Inmon, Kimball, hybrid approaches) - Purpose and role of data warehousing within enterprise data management |
| Topic 4: Dimensional Modelling and Design | - Star and snowflake schema design - Normalization vs dimensional approaches - Fact and dimension tables, slowly changing dimensions |
| Topic 5: Business Intelligence Concepts | - BI tools, dashboards, and data visualisation techniques - BI frameworks and analytical reporting principles - Self-service BI and decision support systems |
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