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Additional volumes in the series focus on related topics, like web-based Data Warehousing, ETL in a Data Warehousing environment, as well as Microsoft-specific editions that cover SQL Server and the Microsoft Business Intelligence Toolset. Kimball – Differing Attitudes towards Enterprise Architecture As the practice of Data Warehousing matured in the 21st Century, a schism grew between the differing architectural philosophies of Inmon and Kimball.Even calling it a schism might be overstated, as Inmon in the foreword for called Kimball’s seminal work “…one of the definitive books of our industry.On the other hand, access to company information on a large scale by an end user for reporting and data analysis is relatively new.Within IBM, the computerization of informational systems is progressing, driven by business needs and by the availability of improved tools for accessing the company data.” [and] “It is now apparent that an architecture is needed to draw together the various strands of informational system activity within the company.In 2007, Inmon was named by Computerworld as one of the “Ten IT People Who Mattered in the Last 40 Years.” Throughout the latter 1970s into the 1980s, Inmon worked extensively as a data professional, honing his expertise in all manners of relational Data Modeling.Inmon’s work as a Data Warehousing pioneer took off in the early 1990s when he ventured out on his own, forming his first company, Prism Solutions.Inmon feels using strong relational modeling leads to enterprise-wide consistency facilitating easier development of individual data marts to better serve the needs of the departments using the actual data.This approach differs in some respects to the “other” father of Data Warehousing, Ralph Kimball.

In the 1980s, he gained exposure to decision support systems as a Vice President for Metaphor Computer Systems.An IBM Systems Journal article published in 1988, , coined the term “business data warehouse,” although a future progenitor of the practice, Bill Inmon, used a similar term in the 1970s.The abstract for the IBM article perfectly describes the problem and ultimate solution that spawned today’s modern data warehousing industry: “The transaction-processing environment in which companies maintain their operational databases was the original target for computerization and is now well understood.Kimball, on the other hand, favors the development of individual data marts at the departmental level that get integrated together using the Information Bus architecture.This “bottom up” approach dovetails nicely with Kimball’s preference for star-schema modeling.

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