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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM29082
Volume:
8 |
3 |
Mar 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Cloud based analytics platforms, such as Microsoft Azure Synapse Analytics; provide a scalable and flexible solution for data processing and business intelligence. However, the cost of running these analytics workloads can be a concern for most organizations. Inefficient resource utilization, idle clusters, and suboptimal configuration can lead to unnecessary expenses. In this article will see few of the best practices that help in cost optimization. We will also look at few of the case studies that provided better results.
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Publication Date
3/26/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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