Drawn from The Data Warehouse Toolkit, Third Edition, the “official” Kimball dimensional modeling techniques are described on the following links and attached .pdf: Fundamental Concepts. Gather business requirements and data realities; Collaborative dimensional modeling workshops; Four step dimensional design process; Business processes; Grain

Kimball Dimensional Modeling Techniques 1 Ralph Kimball introduced the data warehouse/business intelligence industry to dimensional modeling in 1996 with his seminal book, The Data Warehouse Toolkit.

The Kimball Group has established many of the industry’s best practices for data warehousing and business intelligence over the past three decades. These Kimball core concepts are described on the following links: Glossary of Dimensional Modeling Techniques with “official” Kimball definitions for over 80 dimensional modeling concepts

The Kimball Lifecycle approach is illustrated in the following diagram. It provides an overall roadmap depicting the sequence of high level tasks required for successful DW/BI projects. Regardless of your organization’s specific DW/BI objectives, we believe an overarching team goal should be business acceptance of the DW/BI deliverables to ...

Dimensional modeling best practices are architecture-neutral. For a brief overview of dimensional modeling, we suggest starting with the following series of articles. Full coverage is available in The Data Warehouse Toolkit, Third Edition. “A Dimensional Modeling …

The Kimball technical system architecture separates the data and processes comprising the DW/BI system into the backroom extract, transformation and load (ETL) environment and the front room presentation area, as illustrated in the following diagram.

2009年5月29日 · If you’ve spent most of your career designing entity-relationship models for transaction processing systems, you’ll need to resist your instinctive tendency to normalize or snowflake a M:1 relationship into smaller subdimensions; dimension denormalization is the name of the game in dimensional modeling.

Dimensional Modeling Techniques / Fact Table Structure A fact table contains the numeric measures produced by an operational measurement event in the real world.

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Dimensional Modeling Techniques / Snowflaked Dimensions When a hierarchical relationship in a dimension table is normalized, low-cardinality attributes appear as secondary tables connected to the base dimension table by an attribute key.