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Firsthand exposure to the data management process among students.

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Název: Firsthand exposure to the data management process among students.
Autoři: Rahmalan, Hidayah, Mohamad, Siti Nurul Mahfuzah, Ahmad, Norashikin, Rahman, Ahmad Fadzli Nizam Abdul, Abas, Zuraida Abal, Abidin, Zaheera Zainal
Zdroj: AIP Conference Proceedings; 2024, Vol. 2991 Issue 1, p1-7, 7p
Témata: DATA management, BIG data, DATA scrubbing, DATABASES, ACQUISITION of data, SQL
Abstrakt: The use of big data helps us to observe different trends and patterns of data and can be related to people's behavior. The more data is collected, the more data trends and patterns can be identified and used for impactful future applications. The big data process involves two important parts: (i) Data Management and (ii) Data Analytics. This study focuses on data management processes such as data cleaning and structuring that were applied before manipulating the data into useful and informative results. Usually, when a request for project development is made, the data used among students is normalized. The student does not have experience applying data cleaning and structure to their project. There were 78 participants involved in this study that took the Database Programming subject. Participants were required to do a group project on managing the data and displaying informative data using the PL/SQL approach. Findings show that most participants agreed that using reading responses is a good approach as they find new knowledge through data collection (70.5%). The participants also found this task interesting, useful, and practical (68%). This study also improves literacy skills. Participants faced some challenges and gained firsthand experience in upgrading their skills in handling data management. [ABSTRACT FROM AUTHOR]
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Databáze: Complementary Index
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Abstrakt:The use of big data helps us to observe different trends and patterns of data and can be related to people's behavior. The more data is collected, the more data trends and patterns can be identified and used for impactful future applications. The big data process involves two important parts: (i) Data Management and (ii) Data Analytics. This study focuses on data management processes such as data cleaning and structuring that were applied before manipulating the data into useful and informative results. Usually, when a request for project development is made, the data used among students is normalized. The student does not have experience applying data cleaning and structure to their project. There were 78 participants involved in this study that took the Database Programming subject. Participants were required to do a group project on managing the data and displaying informative data using the PL/SQL approach. Findings show that most participants agreed that using reading responses is a good approach as they find new knowledge through data collection (70.5%). The participants also found this task interesting, useful, and practical (68%). This study also improves literacy skills. Participants faced some challenges and gained firsthand experience in upgrading their skills in handling data management. [ABSTRACT FROM AUTHOR]
ISSN:0094243X
DOI:10.1063/5.0199156