Modern Enterprise BI on Azure: Integrating SSIS Migration, Real-Time Dashboards, and Predictive Analytics with Power BI

Authors: Urvangkumar Kothari

DOI: https://doi.org/10.37082/IJIRMPS.v7.i4.232596

Short DOI: https://doi.org/

Country: USA

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Abstract: The development of business intelligence (BI) has moved from static batch-based systems to dynamic, real-time and AI-enabled tools. Classic Microsoft BI products (e.g. SSIS, SSAS, SSRS) have been an excellent fit for enterprise on-premises analysis but had limitations for cloud-scale analytics, flexibility and AI integration. With organizations shifting towards cloud-based ecosystems, there is an increasing need to undergo ETL pipeline modernization and incorporate real-time analytics, without losing out on the gains of their existing MSBI investments. This article provides an end-to-end architecture for modern business intelligence (BI), such as Domo, using Microsoft Azure: SSIS Data Factory migration, PaaS instead of IaaS, and Power BI for full reporting capabilities, minus the data movement. I’ll describe the future of each cloud service; in this case, no fear. Following is a high-level view of the proposed hybrid cloud architecture to support phased deployment of cloud for scalable, real-time and intelligent decision making. It also shows scenarios such as real-time sales dashboard and churn prediction, which prove the capability of integration with Azure BI platform.

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Paper Id: 232596

Published On: 2019-07-06

Published In: Volume 7, Issue 4, July-August 2019

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