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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43472
Volume:
9 |
3 |
Mar 2025
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.
Snowflake has emerged as one of the leading cloud data warehouse platforms, offering near-infinite scalability, on-demand compute, and separation of storage and compute resources. While these characteristics facilitate a wide range of data-driven use cases, enterprises often face challenges around costs, performance, and data quality. Revefi, an emerging Data Operations Cloud platform, addresses these core challenges through AI-driven insights, rapid setup, and a metadata-focused architecture designed to bolster security. This technical exploration delves into the key aspects of Revefi for Snowflake operations, covering its integration model, architecture, AI-driven optimizations, real-world case studies, and known limitations. The discussion is framed in a research-oriented format to guide technical readers through the rationale, methods, and outcomes associated with adopting Revefi for Snowflake.
KEYWORDS
Publication Date
3/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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