Data warehouse by ralph kimball

  • Is Kimball denormalized?

    Kimball-style dimensional modeling is effective
    Let's give credit where credit is due: Kimball's ideas around the star schema, his approach of using denormalized data, and the notion of dimension and fact tables are powerful, time-tested ways to model data for analytical workloads..

  • Which data model works best in a Kimball architecture?

    Kimball happens to be process-oriented since the focus is on business processes.
    Kimball prefers the denormalized data model, and as such, we find redundant data model present in the Kimball architecture..

  • Who is the father of data warehouse?

    William H.
    Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse..

  • A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making.
    Data warehousing involves data cleaning, data integration, and data consolidations.
It provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case 
The Kimball Methodology. Initiated by Ralph Kimball, the Kimball data model follows a bottom-up approach to data warehouse architecture design in which data marts are first formed based on the business requirements.

Who is Ralph Kimball?

Ralph Kimball has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known speakers, consultants, and teachers on data warehousing

He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine


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