| Document Date: 2013-12-20 19:02:10
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City Wiley-Interscience / New York / / Company IBM / Sun Microsystems / SSB / Google / McGraw-Hill / I A B C AB / Distributed File Systems / Hadoop Distributed File System / Intel / / Continent North America / / / IndustryTerm dataset solutions / storage area network / identical hardware / alternate site / physical hardware / conventional systems / batch processing / commodity systems / file systems / backup location site / computer networking / disaster recovery services / higher profile hardware / computer technology / feasible disaster recovery solutions / backup site / cluster processing speed / metal / real time systems / typical hardware solutions / hardware/virtual devices / data processing / disaster recovery solutions / standalone systems processor / operational site / commodity hardware / computing / mobile disaster recovery solutions / operation hardware / physical systems / i7 server / pertinent hardware / / Organization Apache Foundation / AB AC / / Person Sanjay / Todor / Howard Gobioff / Raj Jain / Shun-Tak Leung / Ice Cube / Max Load / Roberto V. Zicari / Steven Harris / Dali Ismail / / Product GHz Intel Core i7 server / Core i7-2600 3.4 GHz servers / Core i7-2600 3.4 GHz / GHz Intel Core i7 / / ProgrammingLanguage Java / ABC / / ProvinceOrState New York / / PublishedMedium The Definitive Guide / / Technology Virtual Machine / RAM / Information Technology / random access / Operating Systems / computer technology / RAID / pdf / encryption / Java / storage area network / flash / standalone systems processor / / URL www.cse.wustl.edu/~jain/cse570-13/ftp/bigdatap/index.html / http /
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Performance Comparison of Big Data Analysis using Hadoop in Physical and Virtual Servers Performance Comparison of Big Data Analysis using Hadoop in Physical and Virtual Servers