Using Hadoop on the Mainframe: A Big Solution for the Challenges of Big Data

被引：2

作者：

Seay, Cameron ^{[1
]}

Agrawal, Rajeev ^{[1
]}

Kadadi, Anirudh ^{[1
]}

Barel, Yannick ^{[2
]}

机构：

[1] North Carolina A&T State Univ, Dept Comp Syst Technol, Greensboro, NC USA

[2] Veristorm Corp, San Jose, CA USA

来源：

2015 12TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY - NEW GENERATIONS | 2015年

关键词：

Big Data; Hadoop; mainframe; virtualization; ETL; Linux;

D O I：

10.1109/ITNG.2015.135

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 Over the period of 60 years, mainframe has contributed extensively to the IT industry but has been replaced by newer machines and methods these days.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.

引用

页码：765 / 769

页数：5

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