ts-convert-from-snowflake-sv

To convert a Snowflake semantic view to a ThoughtSpot model, this skill reverse-engineers the view's DDL by mapping tables and joins, translating SQL expressions to ThoughtSpot formulas, and importing the model via the ThoughtSpot REST API.

Yes, you can merge multiple Snowflake semantic views into a single ThoughtSpot model. The process handles conflicts and schema gaps during the multi-view workflow by providing validation and guidance.

You do not need existing ThoughtSpot tables to import a Snowflake semantic view. The conversion supports both mapping to existing ThoughtSpot tables and creating new ones, outputting TML models and optional Table TMLs.

Generating ThoughtSpot TML from a Snowflake semantic view requires ThoughtSpot authentication, an active Snowflake connection, and a defined semantic view. The skill parses the DDL to produce the TML model output.

SQL expressions are translated when converting Snowflake semantic views by reverse-engineering the view's DDL and mapping the SQL logic directly into equivalent ThoughtSpot formulas within the generated TML model.

Yes, you can manually import a ThoughtSpot model generated from a Snowflake view. The skill outputs a TML model and optional Table TMLs that can be written to a file for manual import instead of using the REST API.