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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Grid Based Approach for Dynamic Integration and Access of Distributed and Heterogeneous Information Across an Enterprise

A Grid Based Approach for Dynamic Integration and Access of Distributed and Heterogeneous Information Across an Enterprise
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Author(s): Swapnil S. Bagul (Software Engineering and Technology Labs, India), Nilesh Ranade (Software Engineering and Technology Labs, India), Aditya Sharma (Software Engineering and Technology Labs, India), D. J. Acharya (Software Engineering and Technology Labs, India), Sumit Kumar Bose (Software Engineering and Technology Labs, India), Srikumar Krishnamoorthy (Software Engineering and Technology Labs, Infosys Technologies Ltd, Bangalore, India), Dheepak RA, Sweta Mistry and Shubhashis Sengupta
Copyright: 2007
Pages: 3
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch273
ISBN13: 9781599049298
EISBN13: 9781466665378

Abstract

Information within an enterprise is often scattered across various administrative domains and geographical time zones. Moreover, such information is maintained in different databases in heterogeneous formats serving varied needs of different set of people across an organization. For strategic decision-making, need is often felt to integrate these information, spread across the company, on a real time basis. Traditional ETL technologies address this problem but impose latency in the process of building data marts and data warehouse. In this paper, we introduce GRADIENT - an EII solution based on service-oriented architecture for accessing distributed information across an enterprise for solving data integration challenges associated with data heterogeneity and geographical spread. GRADIENT has service-oriented data provisioning layer and a metadata management layer that tackles data semantics and metadata synchronization issues. Additionally, the framework uses a Grid based approach to distribute computational load of parallel queries.

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