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Cloud infrastructure / Hadoop / Parallel computing / Apache Hadoop / Emerging technologies / MapReduce / Pig / MapR / Google File System / Computing / Concurrent computing / Cloud computing


Efficient Big Data Processing in Hadoop MapReduce Jens Dittrich Jorge-Arnulfo Quiane-Ruiz ´
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Document Date: 2012-08-17 23:45:26

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File Size: 93,40 KB

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City

Istanbul / /

Company

Google / Column-Oriented Database Systems / Facebook / SAP AG / /

Country

Germany / Turkey / Mexico / /

Currency

USD / /

Facility

University of Nantes / National Polytechnic Institute of Mexico / Saarland University / /

IndustryTerm

scientific applications / large computing clusters / query processing techniques / data processing / database systems / web analytics applications / data processing engine / social networks / query processing efficiency / data processing framework / failover algorithms / /

Organization

Mexican National Council of Technology / VLDB Endowment / INRIA / Saarland University / Information Systems Group Saarland University / University of Nantes / Hadoop MapReduce / Polytechnic Institute / /

Person

Jorge-Arnulfo Quian / Y. Kargin / V / /

Position

postdoctoral researcher / Associate Professor of Computer Science/Databases / Associate Professor / /

Product

Hadoop Distributed File System / /

ProgrammingLanguage

Java / /

Technology

Data Warehouse / Java / failover algorithms / DBMS / /

URL

http /

SocialTag