Sanofi is embarking on an enterprise-wide robust data processing and analytical solution for all their AI needs. The objective is not only to handle large volumes of data efficiently but also to enable complex data pipelines and AI models. This initiative aims to empower data scientists with a self-service mechanism to meet their analytical data processing needs effectively.
To achieve a scalable, secure, and robust environment, Sanofi made the strategic decision to migrate their analytical platform from a managed Spark cluster to Snowpark on Snowflake. This migration allows Sanofi to leverage their internal Python and Spark expertise while benefiting from Snowflake’s modern data platform capabilities.
In this live webinar, you will gain insights into Sanofi’s transformation journey, including:
- Motivation behind migrating from a managed Spark cluster to Snowpark on Snowflake
- Architecture design changes and the step-by-step transition process
- User requests based performance and cost optimization strategy
- Development approach and best practices for a successful migration
Architecture and Data Engineering Lead
Migration Partner and Strategy Leader