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TEAM TRAINING

Your Team,
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Anywhere, Anytime

Advanced Dimensional Modeling: Techniques for Practitioners

Duration: Two Day Course

Prerequisite: This course assumes a basic understanding of dimensional modeling concepts, techniques, and terminology.

Course Outline

Offered by Chris Adamson through TDWI Onsite Education
The companion course to the book Star Schema: The Complete Reference.

Comprehensive coverage of dimensional modeling principles, processes, and deliverables, from the author of Star Schema: The Complete Reference. Students learn the complete set of best practices—from multiple fact table designs to bridge tables to advanced slow change processing. Students learn to match these techniques to real-world business complexity and explore their impacts on BI and data integration tools. Students also learn how to fit dimensional modeling into agile development frameworks, and they receive templates for capturing requirements and designs.

You Will Learn

  • Why most subject areas require multiple fact tables, and how to identify them
  • When to use alternatives to the basic transaction fact table, including periodic snapshots, accumulating snapshots, and type-specific stars
  • How to cope with dimensional intricacy using techniques such as bridge tables, mini-dimensions, time-stamped dimensions, hybrid slow changes, and other slow change options
  • Techniques to ensure your data warehouse will scale as new subject areas are added
  • How design fits into development methods, who should be involved in design activities, and what tasks and outputs should be incorporated

Audience

Geared toward professionals who need a comprehensive understanding of star schema design.

  • BI program managers
  • Business analysts
  • Data architects and modelers
  • BI architects and developers
  • Data integration architects and developers
  • Project managers
  • Database administrators
  • “Power users” and business subject matter experts

Download the Course Catalog to Get Started Today

TDWI Course Catalog Download