IMPLEMENTING ROBUST DATA GOVERNANCE AND MASKING IN SNOWFLAKE: A TECHNICAL DEEP DIVE

Authors

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

DOI:

https://doi.org/10.34218/IJCET_16_01_223

Keywords:

Data Governance, Data Masking, Data Security, Privacy Compliance, Snowflake Implementation

Abstract

This comprehensive technical article examines the implementation of data governance and masking strategies within Snowflake's cloud platform, addressing the evolving challenges of data security and compliance in modern enterprise environments. The article presents a detailed analysis of Snowflake's governance framework, including dynamic data masking, role-based access control, and advanced security features. Through examination of real-world implementations and industry research, the article provides insights into best practices, performance considerations, and future trends in data governance. The article highlights the effectiveness of integrated approaches to data protection while maintaining operational efficiency and demonstrates how organizations can leverage Snowflake's capabilities to establish robust governance frameworks that meet increasingly stringent regulatory requirements while preserving data utility and accessibility.

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Published

2025-02-14

How to Cite

Jaya Krishna Vemuri. (2025). IMPLEMENTING ROBUST DATA GOVERNANCE AND MASKING IN SNOWFLAKE: A TECHNICAL DEEP DIVE. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY, 16(01), 3199-3215. https://doi.org/10.34218/IJCET_16_01_223