Snowflake Migration Case Study: Modernizing SSIS Workloads with Azure Data Factory and Snowflake
A major U.S.-based insurance provider faced challenges in managing and maintaining an outdated SSIS environment. To overcome these obstacles, they partnered with Next Pathway to migrate their SSIS workloads to Azure Data Factory, choosing Snowflake as their cloud data warehouse solution. Utilizing Next Pathway’s innovative tools—CRAWLER360 to map data dependencies and SHIFT Cloud to automate the SSIS workflow conversion—the insurer was able to optimize the entire migration process with minimal disruption.
This migration to Snowflake led to a significant transformation in their data management strategy. The insurer’s data pipelines were streamlined, analytics performance was vastly improved, and the shift to Snowflake's cloud-native solution allowed for greater flexibility in handling data. Additionally, Snowflake’s scalable architecture enabled the insurer to future-proof their data environment, ensuring they could easily scale with growing business needs.
With Snowflake Data Migration, the insurer was able to dramatically reduce maintenance overhead and lower infrastructure costs, enhancing operational efficiency. This case study highlights how insurance providers can unlock the full potential of cloud migration to drive better analytics, reduce costs, and ensure long-term agility.
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