How to Sync Semantic Models Between ThoughtSpot and Snowflake with Cortex Code

Migrating semantic models between ThoughtSpot and Snowflake just got significantly faster.

Our Senior Product Manager, Damian Waldron, walks through how to use ThoughtSpot's Agent Skills in Snowflake Cortex Code (CoCo) to migrate and sync between ThoughtSpot Models and Snowflake Semantic Views, including complex schemas with fan traps, semi-additive measures, and shared dimensions. In this video you’ll learn how to:

+ Convert ThoughtSpot Spotter Semantics into Snowflake-native logic, and back again
+ Handle multi-facts domains and shared dimensions
+ Preserve semi-additive metrics like inventory balances
+ Automate naming conventions fixes during the migration process

Get a demo here: https://www.thoughtspot.com/demo 2&utm_campaign=snowflake_semantic_views_0526

#agenticanalytics #data #businessintelligence

Time Stamps:

0:00 – Introduction: The power of Snowflake + ThoughtSpot

0:25 – Defining a Semantic View in Snowflake

0:50 – Importing Semantic Views into ThoughtSpot

1:35 – Reviewing the automated ThoughtSpot Model

1:55 – Using the SpotterViz to build a Liveboard from scratch on top of the newly created Model

2:50 – The final result