Merge pull request #100044 from djpmsft/docUpdates

Updating docs from ICMs

Author: PRMerger19

articles/data-factory/monitor-using-azure-monitor.md

@@ -426,6 +426,9 @@ Azure Data Factory version 2 emits the following metrics.
 
 To access the metrics, complete the instructions in [Azure Monitor data platform](https://docs.microsoft.com/azure/monitoring-and-diagnostics/monitoring-overview-metrics).
 
+> [!NOTE]
+> Only completed, triggered activity and pipeline runs events are emitted. In progress and sandbox/debug runs are **not** emitted. 
+
 ## Monitor Data Factory metrics with Azure Monitor
 
 You can use Data Factory integration with Monitor to route data to Monitor. This integration is useful in the following scenarios:

articles/data-factory/source-control.md

@@ -152,6 +152,8 @@ The configuration pane shows the following GitHub repository settings:
 
 - GitHub integration with the Data Factory visual authoring tools only works in the generally available version of Data Factory.
 
+- A maximum of 1,000 entities per resource type (such as pipelines and datasets) can be fetched from a single GitHub branch. If this limit is reached, is suggested to split your resources into separate factories.
+
 ## Switch to a different Git repo
 
 To switch to a different Git repo, click the **Git Repo Settings** icon in the upper right corner of the Data Factory overview page. If you can’t see the icon, clear your local browser cache. Select the icon to remove the association with the current repo.

includes/azure-data-factory-limits.md

@@ -61,7 +61,6 @@ Azure Data Factory is a multitenant service that has the following default limit
 
 | **Resource** | **Default limit** | **Maximum limit** |
 | --- | --- | --- |
-| Data factories in an Azure subscription |50 |[Contact support](https://azure.microsoft.com/blog/2014/06/04/azure-limits-quotas-increase-requests/). |
 | Pipelines within a data factory |2,500 |[Contact support](https://azure.microsoft.com/blog/2014/06/04/azure-limits-quotas-increase-requests/). |
 | Data sets within a data factory |5,000 |[Contact support](https://azure.microsoft.com/blog/2014/06/04/azure-limits-quotas-increase-requests/). |
 | Concurrent slices per data set |10 |10 |