Data warehousing concepts kimball

  • The four key decisions made during the design of a dimensional model include:

    Select the business process.Declare the grain.Identify the dimensions.Identify the facts.
  • Snowflake is a data warehouse built on top of the Amazon Web Services or Microsoft Azure cloud infrastructure and allows storage and computing to scale independently.
Kimball dimensional modeling allows users to construct several star schemas to fulfill various reporting needs. The advantage of star schema is that small dimensional-table queries run instantaneously. To integrate data, Kimball approach to Data Warehouse lifecycle suggests the idea of conformed data dimensions.

What is the difference between a data warehouse and a dimensional data mart?

A data warehouse stores the “atomic” data at the lowest level of detail

Dimensional data marts are created only after the complete data warehouse has been created

Thus, the data warehouse is at the centre of the corporate information factory (CIF), which provides a logical framework for delivering business intelligence

Ralph Kimball initiated the Kimball data warehouse approach, where the Kimball data model follows a bottom-up approach to data warehouse (DW) architecture design in which data marts are formed first based on the business requirements.

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