A Survey of Parallel and Distributed Data Warehouses

View Sample PDF

Author(s): Pedro Furtado (Universidade Coimbra, Portugal)
Copyright: 2011
Pages: 22
Source title: Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)and Li Chen (LaTrobe University, Australia)
DOI: 10.4018/978-1-60960-537-7.ch007

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

Purchase

View A Survey of Parallel and Distributed Data Warehouses on the publisher's website for pricing and purchasing information.

Abstract

Data Warehouses are a crucial technology for current competitive organizations in the globalized world. Size, speed and distributed operation are major challenges concerning those systems. Many data warehouses have huge sizes and the requirement that queries be processed quickly and efficiently, so parallel solutions are deployed to render the necessary efficiency. Distributed operation, on the other hand, concerns global commercial and scientific organizations that need to share their data in a coherent distributed data warehouse. In this article we review the major concepts, systems and research results behind parallel and distributed data warehouses.

The IRMA Community

Research IRM

A Survey of Parallel and Distributed Data Warehouses

Purchase

Abstract

Related Content

IRMA Sponsors