June 18, 2025 – Snowflake Semantic Models, LLM Search, Tableau Metric Extraction, and more
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Leveling up your data workflows—this month’s update introduces automated semantic models, AI-powered search, Tableau Metrics generation, and deeper support for dbt and PowerBI.
Most data teams struggle to build a semantic layer from scratch. With Select Star, you can now auto-generate a Snowflake Semantic View, or Cortex Semantic Model YAML directly from your existing BI dashboards.
We reverse-engineer the dashboards you already use by extracting or generating:
Column descriptions
Primary/foreign keys
Sample values
Join relationships
All pre-filled in a Cortex-ready YAML export or Semantic View to jumpstart your modeling.
Once your models are generated, you can start querying them directly in the Select Star UI.
Learn more how to set it up in our Cortex Analyst docs.
You can now use natural language to search across your data catalog. Instead of typing keywords, simply ask:
“Where can I find customer churn metrics?”
“What dashboards use ARR?”
LLM Search works alongside our keyword-based engine to help you:
Understand user intent and surface more relevant results
See AI-powered answers next to traditional search results
Quickly navigate to datasets, dashboards, or documentation without exact matches
Note: This feature is available only to customers who have AI features enabled for their organization. Learn more in our Search docs.
Following the PowerBI beta in April, Select Star now supports automated metric extraction for Tableau dashboards. Metrics are auto-documented with definitions, formulas, and context—saving hours of manual work while improving consistency and discoverability across your team. For more, check out the docs.
Your data access policies now apply consistently across all lineage views—ensuring users only see what they’re allowed to: Explore & Tree views, Source Tables and Columns, Downstream Dashboards, and CSV Export. This update strengthens data governance while keeping the user experience seamless. Learn more about PBAC in the docs.
You can now see custom dbt tests in Select Star alongside built-in ones. This means:
Custom tests are shown under the Tests tab and Data Quality sections
Test details include the original SQL and any related models or tables
If a test targets a single column, it’s shown; otherwise, it’s marked as table-level
This makes it easier to trace and understand issues flagged by custom dbt tests. Especially for teams using validations for freshness, completeness, or business logic checks. No more digging through dbt code when something fails.
UX Improvements
New Card View for Search Results: Search results now support a cleaner, card-style layout — easier to scan and more friendly for business users.
Integration Improvements
PowerBI DirectQuery Support: Power BI ingestion now supports DirectQuery and includes upstream datasets, giving you better visibility into data flow and dependencies.
