General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2010 Vol.2(5): 751-759 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.237

Empirical Study on Dynamic Warehousing

C K Bhensdadia and Yogeshwar P Kosta

Abstract—In large enterprises, huge amounts of data are generated and consumed, and only substantial fractions of the data change rapidly. Decision makers need up-to-date information to make timely and sound business decisions. Unfortunately, conventional decision support systems do not provide the low latencies needed for decision making in this rapidly changing environment.
 The decision making process in traditional data warehouse environments is often delayed because data cannot be propagated from the source system to the data warehouse in time. The typical update patterns for traditional data warehouses on an overnight or even weekly basis increase this propagation delay. Keeping data current by minimizing the latency from when data is captured until it is available to decision makers in this context is a difficult task.

Index Terms—Dynamic Warehousing, Data Warehouse, latency.

* Professor & Head, Dept. of Computer Science & Engineering, Dharmsinh Desai University, Nadiad, Gujarat (INDIA) (ckbhensdadia@yahoo.co.in)
** Dean, Faculty of Technology (ypkosta@yahoo.com) (IEEE Member), Charotar University of Science Technology (CHARUSAT), Education Campus, Changa – 388421, Ta – Petlad, Dist – Anand, Gujarat (INDIA)

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Cite: C K Bhensdadia and Yogeshwar P Kosta,"Empirical Study on Dynamic Warehousing," International Journal of Computer Theory and Engineering vol. 2, no. 5, pp. 751-759, 2010.  


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