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]

PDF (Full Text)
Download (726Kb) | Preview
    PDF (Cek Plagiat)
    Download (2043Kb) | Preview
      PDF (Sertifikat)
      Download (379Kb) | Preview
        PDF (peerreview)
        Download (1353Kb) | Preview


          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: 27 Aug 2019 10:52
          URI: http://repository.petra.ac.id/id/eprint/17766

          Actions (login required)

          View Item