Cloud Data Warehousing and AI Analytics: A Comprehensive Review of Literature |
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| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-10 |
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| Year of Publication : 2023 | ||
| Authors : Prashanth Kumar Mally | ||
| DOI : 10.14445/22312803/IJCTT-V71I10P104 | ||
How to Cite?
Prashanth Kumar Mally, "Cloud Data Warehousing and AI Analytics: A Comprehensive Review of Literature," International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 28-38, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I10P104
Abstract
This examination examines the progressive shifts in data management and analytics, spotlighting the migration from established systems like SAP BW to contemporary cloud data warehousing and AI analytics. It shows the obstacles emerging from rapid data proliferation and the cutting-edge solutions being developed in response. A detailed comparison unveils the amplified competencies and strategic edges associated with AI integration into cloud data warehousing. The review also scrutinizes unfolding trends, offering insights into the future landscape and expected influences on data management. The practical ramifications are dissected through case studies in diverse sectors, shedding light on the transformative essence of these innovations. Insights and recommendations are proffered, aiding in the navigation of intricate terrains and capitalization on emerging opportunities. Overall, the critical essence of continual learning and ingenuity in optimizing data for strategic gains is accentuated. This exhaustive review is tailored to be an invaluable asset for professionals and organizations striving to adapt to the swiftly transforming domain of data management and analytics.
Keywords
Data management, AI analytics, Cloud data warehousing, SAP BW, Data security.
Reference
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