Data regarding the information is a crucial part from the very beginning. To store, retrieve, search and alteration of data is the daily needs for an organization. Valuable business information should never be left sitting around. It should be organized and saved into a permanent data store.
In the past, these data stores were represented by large filing rooms filled with cabinets. Today, the same goal is achieved by using relational and other types of electronic databases. Data-store design can help you establish an efficient mechanism to store and retrieve valuable business information. Organizations use information for many different reasons, with three general purposes being the most common: monitoring, operations, and control.
Data-store implementation is driven by the following practical considerations:
| Physical storage (relational, hierarchical, tagged, object)
Network layout (stand-alone, clustered, grid)
Operational support (user and application security, deployments, housekeeping)
Data conversion (mapping source to target, data cleansing, configuration data)
Data warehouse (extraction, translation, loading) |
New approaches in the fields of multidimensional and statistical database systems have to be considered to develop appropriate support architecture. We present our experiences and ideas gained in implementing a prototype to support and service of data analysis and engineering.
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