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June 12, 2025: Data mart users can now create tables, views, and schemas in Snowflake reader accounts

For users accessing data marts from a Zus-provided Snowflake reader accounts, customers can now create new tables, views, and schemas directly in their reader account.

This new capability will enable customers to:

  • More easily define re-usable analytics concepts
    • For example, a data analyst might create a view that lists all patients with a recent HbA1c measure, which they then can refer to in future queries.
  • More efficiently migrate data out of Snowflake
    • For example, a user might query five Zus data mart tables to create a custom view. The user can then use a data migration tool (e.g. Fivetran, Airbyte) to migrate just the new view, rather than all five source tables.

To create new tables/views/schemas, customers must use the database [CUSTOMER_NAME], which includes the schema SCRATCH. New schemas can be created in the [CUSTOMER_NAME] database and new tables/views can be created in the SCRATCH schema.

To instructions on how create new tables/views/schemas in Snowflake, please refer to the Snowflake documentation here, here, and here.