The Data Warehouse and
Technology
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
Some Technological
 Efficiently
(continue...)
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
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