Building the Data Warehouse"Data warehouses provide a much-needed strategy for organizations to collect, store, and analyze vast amounts of business data. As businesses expand both brick-and-mortar and online activities, the field of data warehousing has become increasingly important. Since it was first published in 1990, W. H. Inmon's Building the Data Warehouse has been the bible of data warehousing - it is the book that launched the data warehousing industry and it remains the preeminent introduction to the subject. This new edition covers the latest developments with this technology, many of which have been pioneered by Inmon himself."--BOOK JACKET. |
Contents
The Data Warehouse Environment | 25 |
Data Warehouse and Design | 57 |
Granularity in the Data Warehouse | 91 |
Copyright | |
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Common terms and phrases
amount of data application April 12 architected environment context level DASD data architect data ware data warehouse data data warehouse environment DBMS deliverable departmental derived data design review development life cycle distributed data warehouse DOS/VSE DSS analyst DSS environment DSS processing dual levels EIS analyst end user ESTIMATE existing systems environment external data Figure METH FOLLOWING ACTIVITY functional decomposition global data warehouse grouping of data heuristic identified integration interface issue level of data levels of granularity lightly summarized living sample database local data warehouse magnetic tape ment metadata methodology NORMALLY EXECUTED ONCE ONCE OR MULTIPLE operational data operational environment operational processing operational systems output PARAMETERS FOR SUCCESS physical units PRECEDING ACTIVITY processing local data pseudocode referential integrity requirements SDLC shown in Figure step storage stored summary system of record units of data unstructured data update volume of data