1. The Data Warehouse and Technology

2. Some Technological  Manage large amounts of data  Manage data on a diverse media  Easily index and monitor data  Interface with a wide number of technologies  Allow the programmer to place the data directly on the physical device.  Store and access data in parallel  Have data control of the warehouse

3. Some Technological (continue...)  Efficiently load the warehouse  Efficiently use indexes  Store data in a compact way  Support compound keys  Selectively turn off the lock manager  Do index-only processing  Quickly restore from bulk storage

4. Multidimensional OLAP Technology  Is suited fro data mart processing and not for data warehouse processing.  When the data mart approach is used as a basis for data warehouse, many problem become evident :  The number of extract programs grows large  Each new multidimensional database must return to the legacy operational environment for its own data  There is no basis for reconciliation of differences in analysis  A tremendous amount of redundant data among different multidimensional DBMS environments exist