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Big Data Analytics on Large Scale Shared Storage System
http://hdl.handle.net/20.500.12678/0000005021
http://hdl.handle.net/20.500.12678/00000050210693b405-cd72-4a4d-95bf-b65c62f64cd7
fd6df63c-ae65-4dc1-97ae-ea6102a9f630
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ICCA2012(KyarNyoAye).pdf (547 Kb)
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Article | ||||||
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Title | ||||||
Title | Big Data Analytics on Large Scale Shared Storage System | |||||
Language | en | |||||
Publication date | 2012-02-28 | |||||
Authors | ||||||
Aye, Kyar Nyo | ||||||
Thein, Ni Lar | ||||||
Description | ||||||
In today’s world, almost every enterprise isseeing an explosion of data. They are getting hugeamount of digital data generated daily. Such hugeamount of data needs to be stored for variousreasons. Now the important question that arises atthis point of time is how do we store, manage,process and analyze such huge amount of data mostof which is Semi structured or Unstructured in ascalable, fault tolerant and efficient manner. Thechallenges of big data are most of them is semistructured or unstructured data, need to carry outcomplex computations over big data and the timerequired to process big data is as low as possible. Inthis paper, we propose big data platform based onHadoop MapReduce framework and Gluster filesystem over large scale shared storage system toaddress these challenges. Our big data platform cansupport large scale data analysis efficiently andeffectively. | ||||||
Keywords | ||||||
big data, big data analytics, big data platform, MapReduce framework, Gluster File System, Scale-out NAS | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/917 | |||||
Journal articles | ||||||
Tenth International Conference on Computer Applications (ICCA 2012) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |