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- S3: Base storage layer must be S3. See Set Base Storage Layer.
- AWS running environment: The
must be integrated with a running environment that is compatible with AWS.D s node - For more information, see Configure for EMR.
- For more information, see Configure for AWS Databricks.
Requirements across multiple Snowflake connections
If you are executing a job on Snowflake that utilizes multiple connections, the following requirements must also be met for execution of the job on Snowflake:
- All Snowflake connections used in the job must utilize to the same Snowflake account.
- All Snowflake connections used in the job must be backed by the same Snowflake primary role. For more information, see https://docs.snowflake.com/en/user-guide/security-access-control-overview.html#enforcement-model-the-primary-role-and-secondary-roles.
If the requirements and limitations are met, the
| D s webapp |
|---|
Limitations
Snowflake as a running environment requires that pushdowns be enabled for the workspace and for the specific flow for which the job is executed. If the flow and the workspace are properly configured, the job is automatically executed in Snowflake.
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