Snowflake has implemented several features and capabilities that address common problems associated with legacy data warehouses.
What has Snowflake explicitly done to address the problems common to legacy Data Warehouses?

Snowflake has implemented several features and capabilities that address common problems associated with legacy data warehouses. Some of these include:

Elasticity and scalability: Legacy data warehouses often have limited scalability and cannot handle sudden spikes in data processing demands. Snowflake provides an elastic, cloud-based data warehousing solution that can scale up or down automatically based on demand. It ensures the system can handle sudden data processing demands without issues.
Separation of storage and compute: Snowflake separates storage and compute, meaning that users can scale these resources independently. This approach makes managing and optimizing both resources easier, resulting in better performance and cost savings.