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The Impact Of Data Warehousing On The Data Warehouse

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INTRODUCTION
A data warehouse is a read only repository of massive amounts of highly detailed, time-stamped data that is used for critical as well as tactical decision making in an enterprise. The data in the Data warehouse is collected from a number of discordant sources. The sources can be transactional systems, internal sources like spreadsheets ,external sources or archived sources. There are many softwares and methodologies that are used to extract the raw data, transform it and load it into in the data warehouse for creating analytical reports for executives throughout the enterprise. Since the data warehouse hosts the current as well the historical data, the ad hoc analyses generated by it improves the decision making process by making it more fact based. The main aim behind the concept of Data Warehousing was to make it end-user friendly, so that they can go through a sea of detailed as well as summarized data.
The term “Data Warehouse” was coined by Bill Inmon also known as “The Father of Warehousing” in 1990. Inmon 's model of Data Warehouse was an instant hit in the industry and was followed religiously till 1996, when another Database expert Ralph Kimball came out with his own model of data warehouse, which was in total contrast with the model proposed by Bill Inmon.
DIFFERENCES
The models though both used rigorously in the industry, differed from each other in the methodology, modeling approach, philosophy, target users and the time factor.
Bill Inmon,

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