Datawarehousing is the manipulation of the data collected by your business. This manipulation of data provides your company with the information it needs in a timely manner, in the form it desires. This complex and emerging technology is fully addressed in this book. Author Amitesh Sinha explains datawarehousing in full detail, covering everything from set-up to operation to the definition of terms.
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Data WarehousingWhat Is It? What Does It Mean? What Does It Take To Build a Data Warehouse?
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aggregated analysis analyze applications architecture Bill Inmon business intelligence business rules business units clickstream corporation Current detail data data marts data mining data model data space data structures data warehouse data data warehouse environment data warehousing denormalized Desc dimension table District Id District documents enterprise ETL development environment ETL tools example exist fact table forecast highly summarized data ID PRODUCT KEY implementation infrequendy used data integrated KEY PERIOD KEY level of detail marketing multidimensional multidimensional analysis nearline storage NULL OLAP operational environment operational systems organization patterns performance PERIOD KEY Dollars predictive PRODUCT KEY PERIOD Ralph Kimball relational database relationships reporting requirements scalable ETL development segment server slowly changing dimensions snowflake schema specific star-schema storage Store dimension STORE KEY text mining tion transformation updated vendors Web farming