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INDEXING SCHEME USING PARTITIONED B+-TREE (ISPB) FOR IMPROVING THE EFFICIENCY OF THE HADOOP MAPREDUCE QUERY PROCESSING

ABDULLAHI, ALI USMAN (2018) INDEXING SCHEME USING PARTITIONED B+-TREE (ISPB) FOR IMPROVING THE EFFICIENCY OF THE HADOOP MAPREDUCE QUERY PROCESSING. PhD thesis, Universiti Teknologi PETRONAS.

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Abstract

The rapid generation and accumulation of data in recent time have led to the concept of big data which requires emergent and development of tools, techniques and systems with significant performance improvement when handling such datasets. Hadoop is one of such systems, that processes 1TB of data in 2 min on a 100 nodes cluster. In an attempt to improve the Hadoop performance indexing was introduced into it.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Information Communication Technology
Subject: T Technology > T Technology (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 14 May 2019 10:26
Last Modified: 14 May 2019 10:26
URI: http://utpedia.utp.edu.my/id/eprint/19005

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