Exploring Data Engineering Technology for Worker Incentive

Managing large amount of data from various resources that create structured, unstructured and semi-structured is challenging. Especially in manufacturing industry which the sources may come from machine, robots, computer and human. In this paper, we will be focusing on the worker’s incentive m...

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Main Author: Mohd Anuar, Nurulain Syafiqah
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21775 /
Published: IRC 2020
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Online Access: http://utpedia.utp.edu.my/21775/1/23249_Nurulain%20Syafiqah.pdf
http://utpedia.utp.edu.my/21775/
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id utp-utpedia.21775
recordtype eprints
spelling utp-utpedia.217752021-09-23T23:38:40Z http://utpedia.utp.edu.my/21775/ Exploring Data Engineering Technology for Worker Incentive Mohd Anuar, Nurulain Syafiqah Q Science (General) Managing large amount of data from various resources that create structured, unstructured and semi-structured is challenging. Especially in manufacturing industry which the sources may come from machine, robots, computer and human. In this paper, we will be focusing on the worker’s incentive management in manufacturing industry which involved Human Resource Management and Production Unit. The aim of this study is to reduce the time taken and tedious incentive management from data engineering workflow technology perspective. The objective of this research firstly, to study the effectiveness of data engineering workflow technology. Secondly, to identify the gaps and redundancy on existing process and operational workflow. Lastly, to develop a system in reducing the gaps and redundancy of the workflow. Thus, data ingestion architecture approach is required integrate data in positive manner to get informative data and better data management. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21775/1/23249_Nurulain%20Syafiqah.pdf Mohd Anuar, Nurulain Syafiqah (2020) Exploring Data Engineering Technology for Worker Incentive. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
Mohd Anuar, Nurulain Syafiqah
Exploring Data Engineering Technology for Worker Incentive
description Managing large amount of data from various resources that create structured, unstructured and semi-structured is challenging. Especially in manufacturing industry which the sources may come from machine, robots, computer and human. In this paper, we will be focusing on the worker’s incentive management in manufacturing industry which involved Human Resource Management and Production Unit. The aim of this study is to reduce the time taken and tedious incentive management from data engineering workflow technology perspective. The objective of this research firstly, to study the effectiveness of data engineering workflow technology. Secondly, to identify the gaps and redundancy on existing process and operational workflow. Lastly, to develop a system in reducing the gaps and redundancy of the workflow. Thus, data ingestion architecture approach is required integrate data in positive manner to get informative data and better data management.
format Final Year Project
author Mohd Anuar, Nurulain Syafiqah
author_sort Mohd Anuar, Nurulain Syafiqah
title Exploring Data Engineering Technology for Worker Incentive
title_short Exploring Data Engineering Technology for Worker Incentive
title_full Exploring Data Engineering Technology for Worker Incentive
title_fullStr Exploring Data Engineering Technology for Worker Incentive
title_full_unstemmed Exploring Data Engineering Technology for Worker Incentive
title_sort exploring data engineering technology for worker incentive
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21775/1/23249_Nurulain%20Syafiqah.pdf
http://utpedia.utp.edu.my/21775/
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score 11.62408