Release: Simplified Data Discovery Through Data Warehouse Collected Tags

✨ Feature Highlights

Simplified Data Discovery Through Data Warehouse Collected Tags

Sifflet now collects BigQuery table-level labels and Snowflake table and field-level tags and surfaces them in your Data Catalog.

This ensure the time your teams might have spent classifying their data at the data warehouse level also benefits data stakeholders leveraging the Data Catalog to discover and understand your data. Data warehouse collected tags indeed make it simpler for data stakeholders to find the asset they might be interested in by allowing them to filter on specific dimensions (team, environment, etc.). They also give them additional technical and business context about the asset as they browse available data assets.

🛠 Bug Fixes

• dbt integration: Fixed a bug where dbt models would sometimes not link properly with their corresponding tables
• dbt Core integration: Fixed a bug that was preventing dbt artifacts from being uploaded in some specific cases

App version: v195