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
- U V Nayak
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