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Data Warehouse with Big Data Technology for Higher Education

Santoso, Leo Willyanto and Yulia, (2017) Data Warehouse with Big Data Technology for Higher Education. [UNSPECIFIED]

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        Abstract

        Nowadays, data warehouse tools and technologies cannot handle the load and analytic process of data into meaningful information for top management. Big data technology should be implemented to extend the existing data warehouse solutions. Universities already collect vast amounts of data so the academic data of university has been growing significantly and become a big academic data. These datasets are rich and growing. University’s top-level management needs tools to produce information from the records. The generated information is expected to support the decision-making process of top-level management. This paper explores how big data technology could be implemented with data warehouse to support decision making process. In this framework, we propose Hadoop as big data analytic tools to be implemented for data ingestion/staging. The paper concludes by outlining future directions relating to the development and implementation of an institutional project on Big Data.

        Item Type: UNSPECIFIED
        Uncontrolled Keywords: Data Warehouse, Big Data, Academic, Hadoop, Higher Education, Analysis
        Subjects: Q Science > QA Mathematics > QA76 Computer software
        Divisions: Faculty of Industrial Technology > Informatics Engineering Department
        Depositing User: Admin
        Date Deposited: 18 Jan 2018 22:19
        Last Modified: 29 May 2019 05:40
        URI: http://repository.petra.ac.id/id/eprint/17766

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