A template can also be used to save query results to a table outside of the clean room; this is called activation. Currently the only forms of activation supported for custom templates are provider activation and consumer activation (storing results to the provider or consumer's Snowflake account, respectively). I know how to do this within the programming language (using a templating engine and constructing the query string).
Is something like this possible within SQL (Snowflake Warehouse)? The Query Builder generates reports using Braze data in Snowflake. The Query Builder comes with pre-built SQL query templates to get you started, or you can write your own custom SQL queries to unlock even more insights. Because the Query Builder allows direct access to some customer data, you can only access the Query Builder if you have the "View PII" permission.
How to Create a Snowflake Query I just added support for the cloud Snowflake databases, and I am simply excited to share what you can do with it. The Snowflake Cost per Query template uses enriched Snowflake usage data to track the cost of Sigma workbooks, users and materializations in addition to Snowflake users, roles and warehouses. It leverages a data model created by Select to calculate the cost (in dollars) of each query in your Snowflake account.
Use the template for reporting, chargeback, optimization and more! The SQL Query template in a clean room lets consumers write free-form SQL to query data in the clean room. When using the SQL Query template, consumer queries must meet certain requirements to successfully return results. The Snowflake: SQL Query tool allows you to run SQL queries on a Snowflake database directly.
By providing your Snowflake account details and the SQL query you want to execute, this tool connects to your Snowflake database, runs the query, and returns the results. This is useful for retrieving specific data, performing data analysis, or managing your database without needing to manually log. Snowflake Query Formatter Format and beautify your SQL query for better readability.
Cons: Snowflake Views should be setup with good column names to ensure valid queries are generated by the AI. This approach is less robust compared to query templates, but can be much more powerful. query Required for CTAS and USING TEMPLATE.
For CTAS, specifies the SELECT statement that populates the table. This query must be specified last in the CTAS statement, regardless of the other parameters that you include. For CREATE TABLE USING TEMPLATE, specifies the subquery that calls the INFER_SCHEMA function and formats the output as an.