A system for evaluating big data analytics performance

Despite of advances in systems and practices, performance measurement remains instrumental in helping organization discover existing problems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, but performance side is still a room for improvement. This paper di...

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Main Authors: Jusoh, Yusmadi Yah, Affendey, Lilly Suriani, Nor, Rozi Nor Haizan, Abdullah, Rusli, Mohamed, Ismail
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80510/
http://psasir.upm.edu.my/id/eprint/80510/1/DATA.pdf
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author Jusoh, Yusmadi Yah
Affendey, Lilly Suriani
Nor, Rozi Nor Haizan
Abdullah, Rusli
Mohamed, Ismail
author_facet Jusoh, Yusmadi Yah
Affendey, Lilly Suriani
Nor, Rozi Nor Haizan
Abdullah, Rusli
Mohamed, Ismail
author_sort Jusoh, Yusmadi Yah
building UPM Institutional Repository
collection Online Access
description Despite of advances in systems and practices, performance measurement remains instrumental in helping organization discover existing problems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, but performance side is still a room for improvement. This paper discusses the development and implementation of performance measurement prototype system for big data systems. With this system, organizations can continually assess the performance gains and setbacks of their big data systems. The systems were developed based on measures and metrics retrieved from the extant literature. Then it was evaluated through review of subject-matter experts and usability survey. The development process of the prototype and the results of the evaluation are presented in this paper.
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language English
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publisher Blue Eyes Intelligence Engineering & Sciences Publication
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spelling upm-805102020-11-05T19:44:16Z http://psasir.upm.edu.my/id/eprint/80510/ A system for evaluating big data analytics performance Jusoh, Yusmadi Yah Affendey, Lilly Suriani Nor, Rozi Nor Haizan Abdullah, Rusli Mohamed, Ismail Despite of advances in systems and practices, performance measurement remains instrumental in helping organization discover existing problems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, but performance side is still a room for improvement. This paper discusses the development and implementation of performance measurement prototype system for big data systems. With this system, organizations can continually assess the performance gains and setbacks of their big data systems. The systems were developed based on measures and metrics retrieved from the extant literature. Then it was evaluated through review of subject-matter experts and usability survey. The development process of the prototype and the results of the evaluation are presented in this paper. Blue Eyes Intelligence Engineering & Sciences Publication 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80510/1/DATA.pdf Jusoh, Yusmadi Yah and Affendey, Lilly Suriani and Nor, Rozi Nor Haizan and Abdullah, Rusli and Mohamed, Ismail (2019) A system for evaluating big data analytics performance. International Journal of Engineering and Advanced Technology, 9 (1). pp. 1679-1683. ISSN 2249-8958 https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2637109119.pdf 10.35940/ijeat.A2637.109119
spellingShingle Jusoh, Yusmadi Yah
Affendey, Lilly Suriani
Nor, Rozi Nor Haizan
Abdullah, Rusli
Mohamed, Ismail
A system for evaluating big data analytics performance
title A system for evaluating big data analytics performance
title_full A system for evaluating big data analytics performance
title_fullStr A system for evaluating big data analytics performance
title_full_unstemmed A system for evaluating big data analytics performance
title_short A system for evaluating big data analytics performance
title_sort system for evaluating big data analytics performance
url http://psasir.upm.edu.my/id/eprint/80510/
http://psasir.upm.edu.my/id/eprint/80510/
http://psasir.upm.edu.my/id/eprint/80510/
http://psasir.upm.edu.my/id/eprint/80510/1/DATA.pdf