-
Book Overview & Buying
-
Table Of Contents
The Data Warehouse Toolkit - Third Edition
By :
As DW/BI practitioners, we have well-developed techniques for accurately capturing the historical flow of data from our enterprise’s source applications. Numeric measurements go into fact tables, which are surrounded with contemporary descriptions of what you know is true at the time of the measurements, packaged as dimension tables. The descriptions of patient, physician, facility, and payer evolve as slowly changing dimensions whenever these entities change their descriptions.
However, in the healthcare industry, especially with legacy operational systems, you often need to contend with late arriving data that should have been loaded into the data warehouse weeks or months ago. For example, you might receive data regarding patient procedures that occurred several weeks ago, or updates to patient profiles that were back-dated as effective several months ago. The more delayed the incoming records are, the more challenging the DW/BI system’...
Change the font size
Change margin width
Change background colour