Migrating Legacy Data Warehouses to Snowflake

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.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-30
DOI
https://doi.org/10.71097/ijsat.v16.i1.3155
Citations
3
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
6.85
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article

Migrating Legacy Data Warehouses to Snowflake

U V Nayak
3 citations
International Journal on Science and Technology
Big Data and Business Intelligence
6.85
article

Migrating Legacy Data Warehouses to Snowflake

U V Nayak
article en
3 citations

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.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 4%
Big Data and Business Intelligence
6.85
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