Sarcouncil Journal of Engineering and Computer Sciences

Sarcouncil Journal of Engineering and Computer Sciences

An Open access peer reviewed international Journal
Publication Frequency- Monthly
Publisher Name-SARC Publisher

ISSN Online- 2945-3585
Country of origin-PHILIPPINES
Impact Factor- 3.7
Language- English

Keywords

Editors

Scalable and Automated Business Intelligence Reporting Using Power Bi and Aws Redshift

Keywords: Business Intelligence (BI), Power BI, AWS Redshift, Scalable Data Analytics, Automated Reporting, Cloud-Based BI.

Abstract: The increasing need for data-driven, real-time decision-making has necessitated the need to seek scalable and automated Business Intelligence (BI) reporting systems. The traditional systems and solutions of BI are typically not applicable to process large volumes of data, automate business processes, and deliver timely information. The combination of Microsoft Power BI and Amazon Web Services (AWS) Redshift will be discussed in this paper as the solution to this limitation. Power BI provides a powerful visualization, reporting, and automation, and AWS Redshift provides a highly scalable, cloud-based data warehouse optimized to answer complex analytics queries. With the integration of these platforms, organizations are able to make data integration processes easier, data refresh simpler, and offer interactive dashboards at a large scale. Recent literature, architecture, and other relevant issues of scalability and automation are summarized in this review. The findings indicate the value of integrating Power BI and AWS Redshift to transform raw data into usable data through effective, scalable, and automated BI reporting.

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