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Title: Optimizing Financial Data Models in Snowflake for Performance and Scale
Authors: Rehan lawrence
Journal: Research journal of human and social aspects (Online)
Year: 2024
Volume: 2
Issue: 1
Language: en
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.
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