Building an Active Data Warehouse Using High Performance AS/400 Technology

2000 ◽  
pp. 295-299
Author(s):  
Keyword(s):  
Data Warehouse ◽  
High Performance ◽  
Active Data

High Performance Historical Available Data Backup Strategy in Data Warehouse

2005 ◽  
pp. 533-537
Author(s):  
Xiufeng Xia ◽  
Lingyu Xu ◽  
Qing Li ◽  
Weidong Sun ◽  
Suixiang Shi ◽  
...  
Keyword(s):  
Data Warehouse ◽  
High Performance ◽  
Data Backup

High Performance Analytical Data Reconstructing Strategy in Data Warehouse

2005 ◽  
pp. 527-531
Author(s):  
Xiufeng Xia ◽  
Qing Li ◽  
Lingyu Xu ◽  
Weidong Sun ◽  
Suixiang Shi ◽  
...  
Keyword(s):  
Data Warehouse ◽  
High Performance ◽  
Analytical Data

A New Architecture for Large Data Warehouse

2011 ◽  
Vol 55-57 ◽  
pp. 87-90
Author(s):  
Gang Li ◽  
Xing San Qian ◽  
Chun Ming Ye
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Business Intelligence ◽  
High Performance ◽  
Lower Cost ◽  
Large Data ◽  
Current Data

Data warehouse is playing a more and more important role in company’s decision making; it is the basis for a typical business intelligence solution. The paper points out the reasons why data warehouse projects failed and by analyzing the current data warehouse architectures, as well as technologies used in industry, a new data warehouse architecture is proposed which has many advantages over current ones, for example, it is extensible, reusable, flexible and with high performance and lower cost.

scholarly journals CoryneRegNet 2: An Integrative Bioinformatics Approach for Reconstruction and Comparison of Transcriptional Regulatory Networks in Prokaryotes

2006 ◽  
Vol 3 (2) ◽  
pp. 1-13 ◽  
Author(s):  
Jan Baumbach ◽  
Karina Brinkrolf ◽  
Tobias Wittkop ◽  
Andreas Tauch ◽  
Sven Rahmann
Keyword(s):  
Transcription Factor ◽  
Data Warehouse ◽  
Binding Sites ◽  
Regulatory Network ◽  
High Performance ◽  
Regulatory Networks ◽  
Transcriptional Regulatory Networks ◽  
Transcriptional Regulatory ◽  
Search Tool ◽  
Gene Regulatory

SummaryCoryneRegNet is an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks. Initially, it was designed to provide methods for the analysis and visualization of the gene regulatory network of Corynebacterium glutamicum. Now we integrated the genomes and transcriptional interactions of three other corynebacteria, C. diphtheriae, C. efficiens, and C. jeikeium into CoryneRegNet; providing comparative analysis and visualization with GraphVis. We also integrated the high-performance PSSM search tool PoSSuM search to detect potential transcription factor binding sites within and across species. As an application, we reconstruct in silico the regulatory network of the iron metabolism regulator DtxR in the four corynebacteria.CoryneRegNet is freely accessible at https://www.cebitec.uni-bielefeld.de/groups/gi/software/coryneregnet/. The final slash (/) is mandatory. In order to use the GraphVis feature, Java (at least version 1.4.2) is required.

scholarly journals Supporting Streaming Updates in an Active Data Warehouse

2007 ◽  
Author(s):  
Neoklis Polyzotis ◽  
Spiros Skiadopoulos ◽  
Panos Vassiliadis ◽  
Alkis Simitsis ◽  
Nils-Erik Frantzell
Keyword(s):  
Data Warehouse ◽  
Active Data

Developing an Active Data Warehouse System

2002 ◽  
pp. 105-122
Author(s):  
Shi-Ming Huang ◽  
Yu-Chung Hung ◽  
Irene Kwan ◽  
Yuan-Mao Hung
Keyword(s):  
Data Warehouse ◽  
Active Data
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