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A data analytic module to extend grafana functionality

In this data driven era and the concept of industry 4.0, they will need the versatile platforms to visualize and analyse their event data to explore, interpret and understand the information hide in the data. A versatile data analytic platform can help to improve and assist the various kind of analy...

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Main Author:	Gan, Kian Yong
Format:	Final Year Project / Dissertation / Thesis
Published:	2019
Subjects:	Q Science (General)
Online Access:	http://eprints.utar.edu.my/3490/1/CS%2D2019%2D1503490.pdf http://eprints.utar.edu.my/3490/
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record_format	eprints
spelling	my-utar-eprints.34902019-08-20T04:18:29Z A data analytic module to extend grafana functionality Gan, Kian Yong Q Science (General) In this data driven era and the concept of industry 4.0, they will need the versatile platforms to visualize and analyse their event data to explore, interpret and understand the information hide in the data. A versatile data analytic platform can help to improve and assist the various kind of analytics. Those analytics including the descriptive, predictive and the advance prescriptive analytics. The Data analysis is an important process that make data become more valuable and gain more insights about the data. Various tools and systems used to analyse the huge volume of complex data to gain the insight from the raw data which is meaningless. In this project, we compare the strengths and weaknesses of the solutions, approaches and the popular visualization tools done by others. The candidate including the Amazon (Amazon Kinesis and Amazon Quick Sights), Microsoft Azure (Time Series Insights), IBM (Watson),InfluxDB, Elastic search, Open TSDB, Grafana and Kibana. We say that Grafana outrank the rest in terms of the dashboard features, the pricing, functionality and flexibility. Elastic search have a powerful search engine, it has a better query throughput which is suitable to handle large amount of data. We solve the limitation of Grafana that cannot perform custom query and visualize data from the custom query. We propose a solution to enhance the data analytic platform and improving the system extension functionality by develop a programme that sit between the data source (Elastic search) and the visualization tool Grafana. The new or advance analytics done by the data scientists can be added into the system through this program in the future easily. 2019-04-19 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3490/1/CS%2D2019%2D1503490.pdf Gan, Kian Yong (2019) A data analytic module to extend grafana functionality. Final Year Project, UTAR. http://eprints.utar.edu.my/3490/
institution	Universiti Tunku Abdul Rahman
building	UTAR Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tunku Abdul Rahman
content_source	UTAR Institutional Repository
url_provider	http://eprints.utar.edu.my
topic	Q Science (General)
spellingShingle	Q Science (General) Gan, Kian Yong A data analytic module to extend grafana functionality
description	In this data driven era and the concept of industry 4.0, they will need the versatile platforms to visualize and analyse their event data to explore, interpret and understand the information hide in the data. A versatile data analytic platform can help to improve and assist the various kind of analytics. Those analytics including the descriptive, predictive and the advance prescriptive analytics. The Data analysis is an important process that make data become more valuable and gain more insights about the data. Various tools and systems used to analyse the huge volume of complex data to gain the insight from the raw data which is meaningless. In this project, we compare the strengths and weaknesses of the solutions, approaches and the popular visualization tools done by others. The candidate including the Amazon (Amazon Kinesis and Amazon Quick Sights), Microsoft Azure (Time Series Insights), IBM (Watson),InfluxDB, Elastic search, Open TSDB, Grafana and Kibana. We say that Grafana outrank the rest in terms of the dashboard features, the pricing, functionality and flexibility. Elastic search have a powerful search engine, it has a better query throughput which is suitable to handle large amount of data. We solve the limitation of Grafana that cannot perform custom query and visualize data from the custom query. We propose a solution to enhance the data analytic platform and improving the system extension functionality by develop a programme that sit between the data source (Elastic search) and the visualization tool Grafana. The new or advance analytics done by the data scientists can be added into the system through this program in the future easily.
format	Final Year Project / Dissertation / Thesis
author	Gan, Kian Yong
author_facet	Gan, Kian Yong
author_sort	Gan, Kian Yong
title	A data analytic module to extend grafana functionality
title_short	A data analytic module to extend grafana functionality
title_full	A data analytic module to extend grafana functionality
title_fullStr	A data analytic module to extend grafana functionality
title_full_unstemmed	A data analytic module to extend grafana functionality
title_sort	data analytic module to extend grafana functionality
publishDate	2019
url	http://eprints.utar.edu.my/3490/1/CS%2D2019%2D1503490.pdf http://eprints.utar.edu.my/3490/
_version_	1646031181657931776
score	13.211869

A data analytic module to extend grafana functionality

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