Publication Date: 2023/06/29
Abstract: In the current time of digital flux of data, existing techniques of data warehouse cannot handle the complexity and analyzing processes of getting meaningful information. Extending an existing data warehouse solution requires the adoption of big data technology. Academic institutions have already with plenty of data, so with the day by day incremental academic data in the institutions comes with the need of big data technology. Academia requires top level management of data so that the tools are used to extract the information from records. Those information obtained support in the decision-making process at the top level management. In this article, we explore how data ware house technology has been implemented to manage academic databases and finds out the best one techniques used for data ware house. At the end of the paper, we suggest the best implementation techniques used in the warehouse in this current time.
Keywords: Academic Data , Data Warehouse, RTDW, ETL.
DOI: https://doi.org/10.5281/zenodo.8108587
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN1275.pdf
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