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Home/Skill Store/Data & Analytics/snowflake-semanticview
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snowflake-semanticview

Data & Analytics

Gives your agent the ability to create, alter, and validate Snowflake semantic views by leveraging the Snowflake CLI for production-ready DDL execution.

When to use

  • When you need to build or troubleshoot a semantic layer in Snowflake

  • When you want to define metrics, dimensions, and facts for data exploration

  • When you need to validate semantic view DDL against a live Snowflake connection

How to use

  1. 1

    Confirm your target database, schema, and connection details for Snowflake

  2. 2

    Draft the semantic view DDL including synonyms and comments for all fields

  3. 3

    Run a validation check using a temporary name to ensure the DDL is correct

  4. 4

    Apply the final DDL and run a sample query to verify the semantic view results

Example conversation

case
You

You

Create a semantic view for my sales data with customer dimensions and order metrics.

snowflake-semanticview

Agent

I've drafted the DDL for your "sales_semantic_view" including all necessary synonyms and comments. I've successfully validated it against your Snowflake connection using a temporary name, and now I'm applying the final version for you to query.

FAQ

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