Last update: Apr 1, 2000 |
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Presented by: Takashi Sasaki We present the design and status of a prototype object warehouse, an OO version of a data warehouse. Data analysis in HEP is the process of discovering meaningful new correlations, patterns and trends by scanning through large amounts of stored data, using statistical and mathematical techniques as well as pattern recognition technologies. This method is called as "data mining" in the information science. A big information center specialized for fast data mining, a data warehouse, has been implemented in many organizations. We have fully taken knowledge in these area into account designing the system.The key issue in data mining is the performance of databases accessed from many clients. Objectivity/DB, which is widely used in HEP, has a bottle neck at the I/O server, AMS. We improved the situation using a SAN (Storage Area Network) technology to share a disk directory among clients over the fiber channel. We will discuss the performance of Objectivity/DB on the protype object warehouse. We are also developing software tools for an object warehouse based on already existing data mining techniques for fast and efficient data analysis in HEP.
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