Study on Data Warehouse Based Equipment Support Data Management
Feng Xie, Jiang Sheng Sun, Wei Liang, Dong Sheng Dai
Abstract
Feng Xie, Jiang Sheng Sun, Wei Liang, Dong Sheng Dai
Abstract
There are more and more data produced in equipment management systems. For decision making, we must collect and integrate all kinds of data and information from different management systems. By analyzing the distributional and heterogeneous data resources, the architecture of equipment management data warehouse is proposed in this paper. We discussed important components of data warehouse for equipment support. The components include metadata, data market, data granularity and data partitioning. By discussing the organization of the data warehouse from the macroscopic point of view, the equipment support data management system with the function of decision making will be used in the future.
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There are more and more data produced in equipment management systems. For decision making, we must collect and integrate all kinds of data and information from different management systems. By analyzing the distributional and heterogeneous data resources, the architecture of equipment management data warehouse is proposed in this paper. We discussed important components of data warehouse for equipment support. The components include metadata, data market, data granularity and data partitioning. By discussing the organization of the data warehouse from the macroscopic point of view, the equipment support data management system with the function of decision making will be used in the future.
Key concepts: Data warehouse, Metadata, Granularity, Metadata management, Computer science, Data management, Database, Dimensional modeling