Lets one pipeline start another as a step, whether that child sits in a different workspace or in Azure Data Factory or Synapse, so loading logic stays modular. An older legacy version is restricted to calling pipelines that share its workspace.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains Invoke pipeline activity in context, with comparison tables and the common traps.
Terms in this definition
- Pipeline
Groups activities logically so that, together, they move and transform data, either one after another or side by side; found in both Azure Data Factory and Microsoft Fabric.
- Workspace
Teams in Power BI and Microsoft Fabric collaborate in this folder-style container, which groups items such as reports, semantic models and lakehouses, controls who can access them and is assigned a capacity.
- Azure Data Factory
Managed data integration service for ETL and ELT, built from pipelines, copy activities, triggers, mapping data flows and integration runtimes. It works in batches rather than routing individual transactions.
- Share
In OpenSharing, the container you fill with tables, views, volumes, models and notebooks for recipients. You need
CREATE SHAREon the metastore to make one; add a schema and all its assets, including later ones, go with history.