semantic-view-creation

Automate semantic view creation by using the FastGen API to generate validated models from SQL queries and Snowflake metadata. This workflow automatically generates tables, relationships, primary keys, metrics, and VQRs to reduce manual modeling time and errors.

FastGen drives semantic model creation by processing SQL and business context to automatically produce tables, relationships, primary keys, and metrics. It orchestrates a phase-based workflow that validates the generated semantic views against your Snowflake metadata.

Yes, supporting scripts such as infer_primary_keys and semantic_view_set are required to enable enhancements. These scripts work with the FastGen workflow to automatically infer primary keys, establish relationships, and generate VQRs for your models.

When FastGen cannot proceed with semantic view generation, the workflow falls back to a manual creation process. This manual fallback ensures you can still complete your semantic modeling tasks even when automated generation encounters limitations.

You need Snowflake access, a FastGen-enabled workflow, and supporting scripts like infer_primary_keys. To start, provide a semantic view name alongside your SQL queries and business context to initiate the automated creation workflow.

Yes, the phase-based workflow includes validation and upgrade options for enhancements. After the initial semantic view creation, you can apply supporting scripts to further refine primary keys, relationships, metrics, and VQRs.