The Data Warehouse Lifecycle Toolkit
The Kimball Lifecycle provides the overall framework that ties together the various activities of a Data Warehouse/Business Intelligence implementation. The Kimball Lifecycle is thoroughly documented and explained in the book “The Data Warehouse Lifecycle Toolkit” by Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, and Bob Becker.
The Kimball Lifecycle identifies task sequencing and highlights the activities that should happen concurrently throughout the technology, data, and BI application tracks.
The Kimball Lifecycle Diagram
The overall Kimball Lifecycle approach to DW/BI initiatives is illustrated above. As per the book:
“Its not enough to have the perfect data model or best-of-breed technology. You need to coordinate the many facets of a DW/BI project, much like a conductor must unify the many instruments in an orchestra.”
In a future post we will start to discuss each of the individual tasks that make up the Kimball Lifecycle.
Joshua Burkhow
Joshua is working to become a Data Scientist with focus on Analytics, Big Data, Machine Learning, and Statistics. His passion for Data and Information are second to none. He is a certified IBM Cognos Expert with more than 10 years experience in Business Intelligence & Data Warehousing, Analtyics, IT Management, Software Engineering and Supply Chain Performance Management with Fortune 500 companies. He has specializations in Analytics, Mobile Reporting, Performance Management, and Business Analysis.
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