DocumentCode
710285
Title
Using Hadoop on the Mainframe: A Big Solution for the Challenges of Big Data
Author
Seay, Cameron ; Agrawal, Rajeev ; Kadadi, Anirudh ; Barel, Yannick
Author_Institution
Dept. of Comput. Syst. Technol., North Carolina A & T State Univ., Greensboro, NC, USA
fYear
2015
fDate
13-15 April 2015
Firstpage
765
Lastpage
769
Abstract
Big Data technologies like hadoop are transforming analytics and processing, but is there a role mainframe can play in improving big data analytics deployed in organizations´ private clouds? Over the period of 60 years, mainframe has contributed extensively to the IT industry but has been replaced by newer machines and methods these days. In this paper we will examine some potential advantages mainframe and its advanced virtualization capability can provide to analytics using hadoop to seamlessly access the vast repositories of data which reside in the proprietary formats.
Keywords
Big Data; cloud computing; data analysis; parallel processing; Big Data analytics technology; Hadoop; IT industry; advanced virtualization capability; data repository; organization private clouds; Big data; Data mining; Industries; Linux; Organizations; Servers; Big Data; ETL; Hadoop; Linux; mainframe; virtualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology - New Generations (ITNG), 2015 12th International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-8827-3
Type
conf
DOI
10.1109/ITNG.2015.135
Filename
7113574
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