Optimizing Financial Data Models in Snowflake for Performance and Scale

Abstract

As financial institutions embrace digital transformation, the volume, variety, and velocity of data have grown exponentially. From transactions and market feeds to risk metrics and customer behavior analytics, the need for a robust and scalable data warehousing solution is more critical than ever. Snowflake, with its cloud-native architecture, separation of compute and storage, and powerful scalability features, has emerged as a leading platform in modern financial data warehousing.