Review on Data Partitioning Strategies in Big Data Environment

In the era of information, huge quantities of data became readily available in the hands of decision makers. Big Data is normally referred to sets of data in which they are not just big in terms of size but they also very much various in terms of velocity and variety, this makes such data very hard...

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Main Authors:	A. A., Haneen, Noraziah, Ahmad, Ritu, Gupta
Format:	Article
Language:	English
Published:	American Scientific Publishers 2017
Subjects:	Z665 Library Science. Information Science
Online Access:	http://umpir.ump.edu.my/id/eprint/19879/ http://umpir.ump.edu.my/id/eprint/19879/ http://umpir.ump.edu.my/id/eprint/19879/ http://umpir.ump.edu.my/id/eprint/19879/1/review%20on%20data%20partitioning-fskkp-2017-1.pdf

id	ump-19879
recordtype	eprints
spelling	ump-198792018-06-05T02:00:15Z http://umpir.ump.edu.my/id/eprint/19879/ Review on Data Partitioning Strategies in Big Data Environment A. A., Haneen Noraziah, Ahmad Ritu, Gupta Z665 Library Science. Information Science In the era of information, huge quantities of data became readily available in the hands of decision makers. Big Data is normally referred to sets of data in which they are not just big in terms of size but they also very much various in terms of velocity and variety, this makes such data very hard to be handled through conventional techniques and tools. Because of the fast growth of these data, there is a need for solutions to be studied and provided to enable handling and extracting knowledge and value from such sets of data. Consequently, applications must be opposed with the challenges of Big Data. For this reason, strategy of partitioning the data has a very critical role in the database platforms. Currently, many data partitioning strategies are available and can resolve some issues such as low hot spot, scalability, low performance and so on. In this paper, we discussed advanced partitioning strategies and their implementation. American Scientific Publishers 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19879/1/review%20on%20data%20partitioning-fskkp-2017-1.pdf A. A., Haneen and Noraziah, Ahmad and Ritu, Gupta (2017) Review on Data Partitioning Strategies in Big Data Environment. Advanced Science Letters, 23 (11). pp. 11101-11104. ISSN 1936-6612 https://doi.org/10.1166/asl.2017.10229 doi: 10.1166/asl.2017.10229
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Z665 Library Science. Information Science
spellingShingle	Z665 Library Science. Information Science A. A., Haneen Noraziah, Ahmad Ritu, Gupta Review on Data Partitioning Strategies in Big Data Environment
description	In the era of information, huge quantities of data became readily available in the hands of decision makers. Big Data is normally referred to sets of data in which they are not just big in terms of size but they also very much various in terms of velocity and variety, this makes such data very hard to be handled through conventional techniques and tools. Because of the fast growth of these data, there is a need for solutions to be studied and provided to enable handling and extracting knowledge and value from such sets of data. Consequently, applications must be opposed with the challenges of Big Data. For this reason, strategy of partitioning the data has a very critical role in the database platforms. Currently, many data partitioning strategies are available and can resolve some issues such as low hot spot, scalability, low performance and so on. In this paper, we discussed advanced partitioning strategies and their implementation.
format	Article
author	A. A., Haneen Noraziah, Ahmad Ritu, Gupta
author_facet	A. A., Haneen Noraziah, Ahmad Ritu, Gupta
author_sort	A. A., Haneen
title	Review on Data Partitioning Strategies in Big Data Environment
title_short	Review on Data Partitioning Strategies in Big Data Environment
title_full	Review on Data Partitioning Strategies in Big Data Environment
title_fullStr	Review on Data Partitioning Strategies in Big Data Environment
title_full_unstemmed	Review on Data Partitioning Strategies in Big Data Environment
title_sort	review on data partitioning strategies in big data environment
publisher	American Scientific Publishers
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19879/ http://umpir.ump.edu.my/id/eprint/19879/ http://umpir.ump.edu.my/id/eprint/19879/ http://umpir.ump.edu.my/id/eprint/19879/1/review%20on%20data%20partitioning-fskkp-2017-1.pdf
first_indexed	2023-09-18T22:28:30Z
last_indexed	2023-09-18T22:28:30Z
_version_	1777416127426592768

Review on Data Partitioning Strategies in Big Data Environment

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