4.25.2022 Changelog

 

• Tableau field level lineage: Expanded field level lineage coverage all the way to Tableau workbooks to better understand field-level relationships across the warehouse and BI layer
• Enhanced support for seasonality and irregular table update patterns: Released multiple improvements to our anomaly detection models to reduce incidents generated by expected weekend usage patterns, irregularly updated tables, and more.
• Automatic Freshness and Volume detector status: We now show the detector status for our automatic Freshness and Volume detectors in the table detail view and soon the catalog view
• Snowflake streams support: We now support Snowflake streams in lineage and catalog to help improve the e2e coverage of your data stack in Monte Carlo

Improvements and fixes

• Impact radius: We now group data warehouse queries by user to help you more quickly parse the queries and determine the impact of the incident
• Show SQL Rules in recent incident module in Catalog: We now show SQL Rule incidents for a specific table within the Catalog Recent Incidents module
• Incident Status tracker improvements: We now breakdown the incident status tracker by status Type and show when there are no new incidents for the current week
• PyCarlo SDK improvements: Improved error handling including configurable automatic retries on typically transient errors (see release notes here)

What's next

• Domains-based Access Controls: Define user groups to assign read only or write access per domain
• Airflow integration: View airflow task logs from within Monte Carlo to support investigations and orchestration context
• Field lineage integration with Looker: See field level dependencies with Looker dashboards