A System for Evaluating Big Data Analytics Performance
Despite of advances in systems and practices, performancemeasurement remains instrumental in helping organization discoverexistingproblems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, butperformance side is still a room for improvement. This paper discus...
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Published in | International journal of engineering and advanced technology Vol. 9; no. 1; pp. 1679 - 1683 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
30.10.2019
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Online Access | Get full text |
ISSN | 2249-8958 2249-8958 |
DOI | 10.35940/ijeat.A2637.109119 |
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Abstract | Despite of advances in systems and practices, performancemeasurement remains instrumental in helping organization discoverexistingproblems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, butperformance 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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AbstractList | Despite of advances in systems and practices, performancemeasurement remains instrumental in helping organization discoverexistingproblems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, butperformance 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. |
Author | Suriani, Lilly Abdullah, Rusli Mohamed, Ismail Jusoh, Yusmadi Yah Nor, Rozi Nor Haizan |
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CorporateAuthor | Faculty of Computing, SIMAD Uinversity Faculty of Computer Science and Information Technology,Universiti Putra Malaysia |
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Title | A System for Evaluating Big Data Analytics Performance |
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