Study on Data Warehouse Based Equipment Support Data Management

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 da...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 462-463; no. Progress in Mechatronics and Information Technology; pp. 1072 - 1075
Main Authors Dai, Dong Sheng, Liang, Wei Jie, Xie, Feng, Sun, Jiang Sheng
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.11.2013
Subjects
Data management
Data warehousing
Decision making
Management systems
Markets
Metadata
Partitioning
Resource management
Equipment Support
Data Warehouse
Data Management
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Selected, peer reviewed papers from the 2013 International Conference on Mechatronics and Information Technology (ICMIT 2013), October 19-20, 2013, Guilin, China
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISBN:3037859415
9783037859414
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.462-463.1072