Learn from Joy Mundy, co-author of Ralph Kimball’s best-selling books and former partner of the Kimball Group. She will lead you through 3 days of learning on dimensional modeling from the basics to the most advanced practices.
Description
Ralph Kimball popularized dimensional modeling, or star schemas, nearly thirty years ago. In the decades since, the five members of the Kimball Group worked to develop, explain, and teach the techniques for dimensional modeling. Today’s popular business intelligence, database, and ETL tools are all marked by the concepts published by the Kimball Group. An excellent dimensional model, or star schema, is the foundation of an excellent data warehouse.
In this practical course, you will learn techniques for developing your dimensional model, from the basics to the most advanced practices. Concepts are taught through a combination of lectures, case studies, and small group exercises. Our goal is to provide you with the skillset you need to lead a dimensional modeling effort at your organization, and the judgement needed to make the tradeoffs between competing goals.
This course gives you the opportunity to learn directly from Joy Mundy, formerly of the Kimball Group and co-author with Ralph Kimball of The Data Warehouse Lifecycle Toolkit , The Microsoft Data Warehouse Toolkit and The Kimball Group Reader.
She teaches the full course portfolio, previously taught by Kimball University for one simple reason: the methodology proves its value over and over in practice. And word-of-mouth brings students from all over Europe to one of the venues in Amsterdam, Brussels, London, Oslo or Stockholm.
Who should attend
This course is designed for data warehouse architects, data modelers, database administrators, business analysts, and ETL or BI application developers and designers.
Prerequisites
You should be:
- Able to name and describe in a few words the main operational systems of his or her organization
- Able to name and describe in a few words the main business concerns of the end users in his or her organization
- Somewhat familiar with basic data modeling concepts such as referential integrity
However, the absence of these abilities and familiarity will not keep you from profiting from the course.
