SNOWFLAKE'S ADVANCED ML CAPABILITIES AND MULTI-CLOUD ARCHITECTURE: A TECHNICAL OVERVIEW

Authors

  • Jaya Krishna Vemuri State Street Bank and Trust Company, USA Author

Keywords:

Machine Learning Integration, Multi-Cloud Architecture, Data Security Governance, AutoML Capabilities, Enterprise Analytics

Abstract

This technical article presents a comprehensive analysis of Snowflake's advanced machine learning capabilities and multi-cloud architecture. The article examines the platform's evolution in data processing, AI integration, and distributed computing environments. Through detailed examination of Snowflake's Snowpark framework, external ML platform integrations, and AutoML capabilities, the article demonstrates how the platform addresses contemporary enterprise challenges. The article also explores the platform's cross-cloud and hybrid architecture implementations, security considerations, and performance optimizations. The article concludes with an analysis of future trends and industry-specific solutions, highlighting Snowflake's role in shaping the future of enterprise data operations and cloud computing landscapes.

References

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Published

2025-02-14

How to Cite

Jaya Krishna Vemuri. (2025). SNOWFLAKE’S ADVANCED ML CAPABILITIES AND MULTI-CLOUD ARCHITECTURE: A TECHNICAL OVERVIEW. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 2483-2497. https://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_180