Added
Native Lineage for Salesforce Data Cloud
about 1 month ago
Monte Carlo now maps Salesforce Data Cloud lineage natively, tracing the full chain from Data Lake Objects to Data Model Objects to Calculated Insights. Calculated Insights and Data Model Objects surface as views, and materialized Data Lake Objects surface as tables — making them monitorable for freshness and volume like any other table. Source warehouses that feed into Data Cloud are also connected, so lineage from upstream platforms links all the way through.
This release also includes several Salesforce Data Cloud improvements:
- Multi-dataspace support — a single connection covers all dataspaces, including monitor creation
- All monitor types (profiler, validation, and metric) now work on non-default dataspaces
- Dataspace names are surfaced in the connection UI
- Auto-enabled row counting for freshness and volume when creating a table monitor
- Connection-matching and reliability fixes so monitors map to the correct connection
- Friendly labels for Data Lake and Data Model objects in the catalog