Authors :
Ubash Yadav; Hira Lal Bhandari; Sushil Poudel
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/yck6hrvp
DOI :
https://doi.org/10.5281/zenodo.8108587
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.
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.
