Chapter 12 : A Biased Take on a Moving Target : Data Integration
نویسنده
چکیده
I will start this treatise with a history of two major themes in data integration. In my opinion, the topic began with the major retailers in the 1990s consolidating their sales data into a data warehouse. To do this they needed to extract data from in-store sales systems, transform it into a predefined common representation (think of this as a global schema), and then load it into a data warehouse. This data warehouse kept historical sales data for a couple of years and was used by the buyers in the organization to rotate stock. In other words, a buyer would figure out that pet rocks are “out” and barbie dolls are “in.” Hence, he would tie up the barbie doll factory with a big order and move the pet rocks up front and discount them to get rid of them. A typical retail data warehouse paid for itself within a year through better buying and stock rotation decisions. In the late 1990s and early 2000’s there was a giant “pile on” as essentially all enterprises followed the lead of retailers and organized their customer-facing data into a data warehouse.
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