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A Peta-Scale Data Movement and Analysis in Data Warehouse (APSDMADW)

by Ahmed Mateen, Lareab Chaudhary
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 7
Year of Publication: 2016
Authors: Ahmed Mateen, Lareab Chaudhary
10.5120/ijca2016911702

Ahmed Mateen, Lareab Chaudhary . A Peta-Scale Data Movement and Analysis in Data Warehouse (APSDMADW). International Journal of Computer Applications. 151, 7 ( Oct 2016), 1-5. DOI=10.5120/ijca2016911702

@article{ 10.5120/ijca2016911702,
author = { Ahmed Mateen, Lareab Chaudhary },
title = { A Peta-Scale Data Movement and Analysis in Data Warehouse (APSDMADW) },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 7 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number7/26242-2016911702/ },
doi = { 10.5120/ijca2016911702 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:26.426115+05:30
%A Ahmed Mateen
%A Lareab Chaudhary
%T A Peta-Scale Data Movement and Analysis in Data Warehouse (APSDMADW)
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 7
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this research paper so as to handle Information warehousing as well as on-line synthetic dispensation OLAP are necessary aspects of conclusion support, which takes more and more turn into a focal point of the data source business. This paper offers an outline of information warehousing also OLAP systems with a highlighting on their latest necessities. All of us explain backside end tackle for extract, clean-up and load information into an Data warehouse; multidimensional data model usual of OLAP; front-end user tools for query and facts evaluation server extension for useful query dispensation; and apparatus for metadata managing and for supervision the stockroom. Insights centered on complete data on customer actions manufactured goods act and souk performance are powerful advance and opposition in the internet gap .In this research, conclude the company inspiration and the program and efficiency of server’s working in a data warehouse through use of some new techniques and get better and efficient results. Data in peta-byte scale. This test shows the data dropping rate in data warehouse. The locomotive is in creation at Yahoo! since 2007 and presently manages more than half a dozen peta bytes of data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data warehouse OLAP analytical Map Reduce volume MOPS VO CEDPS function processing

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