The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
Li Danxun - One of the best experts on this subject based on the ideXlab platform.
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Study on key technologies of application system for flood control Database
Water Resources and Hydropower Engineering, 2011Co-Authors: Li DanxunAbstract:The key technologies of the application system for flood control Database are studied herein,which includes the Database Table structure and the system software architecture.Following the relevant standards issued by the Ministry of Water Resources,the flood control Database Table structure is designed and then is favorable to Data sharing;of which the Table structure contents the Data Dictionary Table for convenient Data transferring of the application system.The 3-tier architecture is adopted to the Database application system.The operation process of flood control is clearly divided in the logical structure of the architecture,so as to give the convenient maintenance and extension of the water information system concerned.The study achievement is now applied to the development of the Harbin Flood Control Database Application System,which can provide a reference for the design of the Database and software of the relevant water information system as well.
Xu Hong-xia - One of the best experts on this subject based on the ideXlab platform.
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Design and implementation of the query function faced to decision-making
Journal of Zhengzhou University of Light Industry, 2007Co-Authors: Xu Hong-xiaAbstract:In view of the Data organization and inquiry demand in the large-scale information system,Data code strategy correspondence Table,inquiry strategy execution Table and Data Dictionary Table structure of the inquiry processing mechanism are designed to realize the scene inquiry,service Data detailed inquiry,statistical report form inquiry,Data analysis,service trail inquiry and special inquiry function.It is applied in the large-scale chain supermarket sale management system with good effect.
Su Peng - One of the best experts on this subject based on the ideXlab platform.
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implementation method for master Data matching between heterogeneous software systems
2015Co-Authors: Jian Wen, Xu Qingshi, Su PengAbstract:The invention discloses an implementation method for master Data matching between heterogeneous software systems and belongs to the technical field of Data processing. The method includes the steps: A) creating an intermediate contrast relation Table and a basic Data Dictionary Table in a Database; B) synchronously loading Data in a Data update party system into the intermediate contrast relation Table and the basic Data Dictionary Table; C) completing historical Data contrast through the intermediate relation contrast Table; D) simultaneously synchronizing operations on the Data to the intermediate contrast relation Table and the basic Data Dictionary Table; E) when a Data synchronizing party system loads the Data or initializing is performed on the Data synchronizing party system, independently accessing to a control Database, and directly reading the intermediate relation Table and the basic Data Dictionary Table to complete matching of master Data. Compared with the prior art, the method has the advantages that the problem of slow Data synchronization caused by the fact that the Data synchronizing party system loads the Data for users is solved, influence caused by Data synchronization on large Data volume is reduced, and Data maintenance cost is lowered.
Jian Wen - One of the best experts on this subject based on the ideXlab platform.
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implementation method for master Data matching between heterogeneous software systems
2015Co-Authors: Jian Wen, Xu Qingshi, Su PengAbstract:The invention discloses an implementation method for master Data matching between heterogeneous software systems and belongs to the technical field of Data processing. The method includes the steps: A) creating an intermediate contrast relation Table and a basic Data Dictionary Table in a Database; B) synchronously loading Data in a Data update party system into the intermediate contrast relation Table and the basic Data Dictionary Table; C) completing historical Data contrast through the intermediate relation contrast Table; D) simultaneously synchronizing operations on the Data to the intermediate contrast relation Table and the basic Data Dictionary Table; E) when a Data synchronizing party system loads the Data or initializing is performed on the Data synchronizing party system, independently accessing to a control Database, and directly reading the intermediate relation Table and the basic Data Dictionary Table to complete matching of master Data. Compared with the prior art, the method has the advantages that the problem of slow Data synchronization caused by the fact that the Data synchronizing party system loads the Data for users is solved, influence caused by Data synchronization on large Data volume is reduced, and Data maintenance cost is lowered.
Xu Qingshi - One of the best experts on this subject based on the ideXlab platform.
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implementation method for master Data matching between heterogeneous software systems
2015Co-Authors: Jian Wen, Xu Qingshi, Su PengAbstract:The invention discloses an implementation method for master Data matching between heterogeneous software systems and belongs to the technical field of Data processing. The method includes the steps: A) creating an intermediate contrast relation Table and a basic Data Dictionary Table in a Database; B) synchronously loading Data in a Data update party system into the intermediate contrast relation Table and the basic Data Dictionary Table; C) completing historical Data contrast through the intermediate relation contrast Table; D) simultaneously synchronizing operations on the Data to the intermediate contrast relation Table and the basic Data Dictionary Table; E) when a Data synchronizing party system loads the Data or initializing is performed on the Data synchronizing party system, independently accessing to a control Database, and directly reading the intermediate relation Table and the basic Data Dictionary Table to complete matching of master Data. Compared with the prior art, the method has the advantages that the problem of slow Data synchronization caused by the fact that the Data synchronizing party system loads the Data for users is solved, influence caused by Data synchronization on large Data volume is reduced, and Data maintenance cost is lowered.
