There are no prerequisites for this course.
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Dimensional data is a core component of modern business intelligence and analytics. It is widely accepted as a proven and practical way to design and implement business measures and metrics. Dimensionally organized data provides a strong foundation for performance dashboards and scorecards, and offers a more effective and adaptable solution to business analytics needs than can be achieved with relational data structures.
Over three days of in-depth, interactive training, the Dimensional Data Modeling Skills workshop will provide your team with comprehensive coverage of dimensional modeling principles, processes, and deliverables, from the author of Star Schema: The Complete Reference. Starting from the basics, learn a complete set of best practices—from multiple fact table designs, to bridge tables, to advanced slow change processing. Build the skills to match these techniques to real-world business complexity and apply them to solve real modeling problems. Learn how to fit dimensional modeling into agile development frameworks. You’ll receive templates to capture requirements and designs and complete the class with a robust understanding of dimensional data modeling pragmatics.