Integrating Traditional BI Tools with Big Data Technologies: Challenges and Solutions |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-5 |
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| Year of Publication : 2024 | ||
| Authors : Sivanagaraju Gadiparthi | ||
| DOI : 10.14445/22312803/IJCTT-V72I5P111 | ||
How to Cite?
Sivanagaraju Gadiparthi , "Integrating Traditional BI Tools with Big Data Technologies: Challenges and Solutions," International Journal of Computer Trends and Technology, vol. 72, no. 5, pp. 89-95, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I5P111
Abstract
In today's fast-paced business landscape, organizations are increasingly reliant on Business Intelligence (BI) tools and advanced big data technologies to maintain their competitive edge. While BI tools excel at analyzing structured data, big data technologies handle vast volumes of structured, semi-structured, and unstructured data in real-time. This integration offers myriad prospects, yet it poses substantial challenges, including technical complexities, architectural disparities, organizational dynamics, and compliance issues. This abstract examines these challenges and proposes practical strategies to address them. By leveraging technical solutions such as data integration and hybrid architectures, organizations can optimize their BI and big data integration. Moreover, organizational strategies like leadership cultivation and talent development foster a data-driven culture. Regulatory compliance strategies ensure ethical data usage. Through these approaches, organizations can effectively merge traditional BI with big data technologies, unlocking transformative insights and gaining a competitive advantage in today's dynamic business environment.
Keywords
Integration, Big data technologies, Traditional BI Tools, Challenges, Hybrid architectures.
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