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Cloud-Oriented Big Data Analytics Architecture for Scalable Business Intelligence Applications

Tsoy Yelizaveta

Nanjing, China

Abstract

The rapid growth of digital data generated from social media, enterprise systems, sensors, e-commerce platforms, and mobile applications has transformed the business environment into a data-driven ecosystem. Organizations increasingly rely on big data analytics and business intelligence systems to derive actionable insights, improve operational efficiency, and support strategic decision-making. Traditional data processing infrastructures are often unable to manage the velocity, variety, volume, and veracity of modern datasets. Cloud-oriented big data analytics architecture offers a scalable, flexible, and cost-effective solution for handling large-scale data processing and intelligent analytics applications. This study explores a cloud-oriented architecture designed for scalable business intelligence applications by integrating cloud computing technologies, distributed storage systems, machine learning frameworks, and real-time analytics platforms. The proposed architecture emphasizes data acquisition, storage, processing, visualization, and security management within a cloud environment. Furthermore, the study discusses architectural layers, deployment models, and the role of virtualization and distributed computing in enhancing business intelligence capabilities. The research methodology adopts a qualitative and conceptual analysis approach using secondary data sources and existing technological frameworks. The findings indicate that cloud-oriented analytics architecture significantly improves scalability, resource utilization, analytical accuracy, and decision-making efficiency. The study concludes that integrating cloud computing with big data analytics enables organizations to build intelligent, responsive, and future-ready business ecosystems capable of supporting dynamic market demands and digital transformation initiatives

Article Information

Journal

International Journal of Emerging Trends in Engineering and Management Research

Volume (Issue)

Vol. 1 No. 2 (2016): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR)

DOI

https://doi.org/10.15662/ijetemr.2016.0102001

Pages

363-372

Published

September 8, 2016
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Tsoy Yelizaveta (%2016). Cloud-Oriented Big Data Analytics Architecture for Scalable Business Intelligence Applications. International Journal of Emerging Trends in Engineering and Management Research , Vol. 1 No. 2 (2016): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 363-372. https://doi.org/10.15662/ijetemr.2016.0102001

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