Built on top of cloud object storage (AWS S3, Google Cloud Storage, or Azure Blob Storage). Storage is highly scalable and inexpensive, allowing architects to maintain multiple historical variations of a data model simultaneously.
Effective data modeling is the single most critical factor in controlling cloud consumption costs, accelerating query processing, and ensuring enterprise data governance. In the modern era of the Snowflake Data Cloud, traditional on-premises modeling constraints no longer apply. Snowflake's decoupled compute and storage architecture introduces novel physical design opportunities. data modeling with snowflake pdf download