Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies
碩士 === 國立交通大學 === 工業工程與管理學系 === 100 === Two approaches to reducing the maintenance cost for the data warehouse of floral industry in Taiwan are proposed. One is to replace many traditional computer servers by a single blade server. An obvious change of this hardware approach is the reduction of syst...
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ndltd-TW-100NCTU50311102016-03-28T04:20:38Z http://ndltd.ncl.edu.tw/handle/10219717301207474750 Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies 透過刀鋒伺服器及SSIS技術降低台灣花卉資料倉儲的維護成本 Chang, Hung 張弘 碩士 國立交通大學 工業工程與管理學系 100 Two approaches to reducing the maintenance cost for the data warehouse of floral industry in Taiwan are proposed. One is to replace many traditional computer servers by a single blade server. An obvious change of this hardware approach is the reduction of system components. This makes not only the underlying system more reliable but also the space layout easier. Moreover simplified management tasks inherently reduce the maintenance cost. The other is to replace the legacy software Data Transformation Services (DTS) by the innovative software SQL Server Integration Services (SSIS). Both DTS and SSIS are software products used in information system for Extraction-Transformation-Loading (ETL) purpose. Compared with DTS, however, SSIS offers more functional modules for manipulation and diagnosing capability for ETL data. The effectiveness of SSIS makes the maintencnce cost down naturally. For showing the feasibility of the proposal, a pilot floral data warehouse has been implemented by both approaches together. The decreasing maintenance cost is observed in this research study. Liang, Gau-Rong 梁高榮 2012 學位論文 ; thesis 68 zh-TW |
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碩士 === 國立交通大學 === 工業工程與管理學系 === 100 === Two approaches to reducing the maintenance cost for the data warehouse of floral industry in Taiwan are proposed. One is to replace many traditional computer servers by a single blade server. An obvious change of this hardware approach is the reduction of system components. This makes not only the underlying system more reliable but also the space layout easier. Moreover simplified management tasks inherently reduce the maintenance cost. The other is to replace the legacy software Data Transformation Services (DTS) by the innovative software SQL Server Integration Services (SSIS). Both DTS and SSIS are software products used in information system for Extraction-Transformation-Loading (ETL) purpose. Compared with DTS, however, SSIS offers more functional modules for manipulation and diagnosing capability for ETL data. The effectiveness of SSIS makes the maintencnce cost down naturally. For showing the feasibility of the proposal, a pilot floral data warehouse has been implemented by both approaches together. The decreasing maintenance cost is observed in this research study.
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author2 |
Liang, Gau-Rong |
author_facet |
Liang, Gau-Rong Chang, Hung 張弘 |
author |
Chang, Hung 張弘 |
spellingShingle |
Chang, Hung 張弘 Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies |
author_sort |
Chang, Hung |
title |
Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies |
title_short |
Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies |
title_full |
Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies |
title_fullStr |
Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies |
title_full_unstemmed |
Reducing the Maintenance Cost of the Flower Data Warehouse in Taiwan through Blade Server and SSIS Technologies |
title_sort |
reducing the maintenance cost of the flower data warehouse in taiwan through blade server and ssis technologies |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/10219717301207474750 |
work_keys_str_mv |
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