A Real-Time Business Analysis
Framework Using Virtual Data Warehouse
Partha
Ghosh1, Deep Sadhu2, and Soumya Sen1
1A.K.Choudhury School of Information Technology, University
of Calcutta, India
2Department
of Data Science, Ernst and Young, India
Abstract: Data Warehouse (DW) is widely used in industries over
decades to perform the analysis on data to expedite decision-making process.
However, the traditional DW is slower in execution due to the huge time
overhead of pre-processing stages of Extraction-Transformation-Loading (ETL).
On the other hand, often the situations arise where the decision-making are
required in real time. Data virtualization is one of the robust approaches over
traditional data warehouse that avoids the costly steps of ETL processing. Virtual
Data Warehouse (VDW) allows specific analysis for quick decision making even on
the unprocessed data. Moreover, VDW could be used by the organizations that
maintain DW to take some immediate business decisions for some abrupt changes.
This research work performs business trend specific analysis based on VDW to
generate business intelligence even in the catastrophic situations.
Experimental results reveal, the proposed methodology based on VDW is around thousand
times faster than traditional warehouses.
Keywords: Data warehouse, virtual data warehouse, data
analytics, business intelligence, real-time analysis, z-score, query execution.
Received May 19, 2020; accepted December 15, 2020
