A leading food & beverage leader needed a rapid, automated migration from Snowflake to Azure Synapse to optimize its data processing across regions. Speed was essential—not just for the migration itself, but also to reduce ongoing costs and improve performance for global operations.
At the same time, the client could not compromise on accuracy. Data consistency had to be maintained throughout the large-scale migration to ensure high-quality insights and avoid discrepancies. Additionally, managing high-volume data loads efficiently across multiple regions was critical to prevent slowdowns and ensure reliable business operations.
Ascendion partnered with the client to execute a large-scale migration that was fast, efficient, and reliable, powered by automation and AI.
Automated Migration with AAVA:
We deployed the AAVA Data Modernization Studio, which enabled automated translation of Snowflake SQL scripts, stored procedures, and Korn Shell scripts to ensure compatibility with Azure Synapse. This accelerated the migration process while reducing manual effort.
Optimized Data Pipelines:
Synapse Pipelines were implemented to streamline and optimize data flows, ensuring improved efficiency and faster processing speeds across the organization.
Focus on Accuracy and Scalability:
Our solution emphasized maintaining data consistency and accuracy during migration, while also enabling scalability for future growth. This ensured the system could handle high-volume data loads seamlessly.
Global Operations, Smooth Integration:
The migration was designed with global operations in mind. Optimized infrastructure allowed smooth integration with existing systems, enabling consistent performance across multiple regions.
Tech Stack:
AAVA Data Modernization Studio, Azure Synapse, Synapse Pipelines, SQL script translation, Korn Shell migration.
At BMS, we wanted our consultants to focus on the possible, freeing up time lost to reading endless CV’s that could instead be used to really engage with people who are looking for that first step in their sales career. The solution we adopted found the right balance between machine efficiency and human empathy.
– Graham Halewood,
Chief Operations Officer
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