Migrating Legacy Data Warehouses to Snowflake

Author(s)	Ujjawal Nayak
Country	United States
Abstract	The transition from legacy data warehouses to modern cloud-based platforms such as Snowflake has become a strategic priority for enterprises seeking scalability, flexibility, and improved analytical performance. However, migrating large-scale legacy systems presents significant challenges, including data compatibility issues, security concerns, performance bottlenecks, and business continuity risks. This article examines the key obstacles encountered in legacy-to-Snowflake migrations and outlines best practices for ensuring a smooth and efficient transition. Organizations can optimize their data warehousing capabilities by leveraging structured migration frameworks, automated ETL processes, and robust validation strategies while minimizing risks.
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-30
DOI	https://doi.org/10.71097/IJSAT.v16.i1.3155
Short DOI	https://doi.org/g899tf

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International Journal on Science and Technology