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: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2020
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/id/eprint/21775/1/23249_Nurulain%20Syafiqah.pdf http://utpedia.utp.edu.my/id/eprint/21775/ |
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| Summary: | 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. |
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