status

meganbradley · meganbradley · commit 064cc6516127 · 2025-01-10T22:55:22.000-07:00
diff --git a/articles/backup/monitor-azure-backup-with-backup-explorer.md b/articles/backup/monitor-azure-backup-with-backup-explorer.md
@@ -46,39 +46,39 @@ Backup Explorer displays multiple tabs, each providing detailed information abou
 
 The **Summary** tab provides a quick glance at the overall condition of your backup estate. For example, you can view the number of items being protected, the number of items for which protection hasn't been enabled, or how many jobs were successful in the last 24 hours.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4nQYd]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=885e788d-8344-4ff4-ad68-b3a2dcdc12c9]
 
 ### The Backup Items tab
 
 You can filter and view each of your backup items by subscription, vault, and other characteristics. By selecting the name of a backup item, you can open the Azure pane for that item. For example, from the table, you might observe that the last backup failed for item *X*. By selecting *X*, you can open the item's **Backup** pane, where you can trigger an on-demand backup operation.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4nQYc]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=f7c15d28-f48c-4766-adf5-96cd142ce830]
 
 ### The Jobs tab
 
 Select the **Jobs** tab to view the details of all the jobs that were triggered over the last 7 days. Here, you can filter by *Job Operation*, *Job Status*, and *Error Code* (for failed jobs).
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4nOrh]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=bcf5de61-d5f2-4701-a8f1-438b4c3ca5c4]
 
 ### The Alerts tab
 
 Select the **Alerts** tab to view details of all alerts that were generated on your vaults over the last 7 days. You can filter alerts by type (*Backup Failure* or *Restore Failure*), current status (*Active* or *Resolved*), and severity (*Critical*, *Warning*, or *Information*). You can also select a link to go the Azure VM and take any necessary action.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4nTxe]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=4dd33d0e-d6b4-4615-aabf-203723745526]
 
 ### The Policies tab
 
 You can select the **Policies** tab to view key information about all the backup policies that have been created across your backup estate. You can view the number of items associated with each policy, along with the retention range and backup frequency specified by the policy.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4nLKV]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=f00e4d2f-741f-4876-a03d-e9931d73669e]
 
 ### The Backup Not Enabled tab
 
 Backup should be enabled for all machines that require protection. With Backup Explorer, backup administrators can quickly identify which machines in an organization aren't yet protected by backup. To view this information, select the **Backup Not Enabled** tab.
 
 The **Backup Not Enabled** pane displays a table with a list of unprotected machines. Your organization might assign different tags to production machines and test machines, or to machines that serve a variety of functions. Because each class of machines needs a separate backup policy, filtering by tags helps you view information that's specific to each. Selecting the name of any machine redirects you to that machine's **Configure Backup** pane, where you can choose to apply an appropriate backup policy.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4nQXZ]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=38679a96-fde7-4cdd-9b2c-290e0b7101c0]
 
 ## Export to Excel
 
diff --git a/articles/cost-management-billing/reservations/charge-back-usage.md b/articles/cost-management-billing/reservations/charge-back-usage.md
@@ -31,7 +31,7 @@ Users with an individual subscription can get the amortized cost data from their
 
 Here's a video showing how to view reservation usage costs at subscription, resource group and resource level in the Azure portal.
 
- > [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4sQOw] 
+ > [!VIDEO https://learn-video.azurefd.net/vod/player?id=741b6fdc-9d82-49af-ba87-a8ede2cf4535] 
 
 ## Get the data for show back and charge back
 
diff --git a/articles/cost-management-billing/reservations/reservation-utilization.md b/articles/cost-management-billing/reservations/reservation-utilization.md
@@ -22,7 +22,7 @@ To view reservation utilization, you must have Azure RBAC access to the reservat
 1. Go to [Reservations](https://portal.azure.com/#blade/Microsoft_Azure_Reservations/ReservationsBrowseBlade).
 1. The list shows all the reservations where you have the Owner or Reader role. You can also view all reservations in your Microsoft Entra tenant (directory) if you have Reservation administrator or reader role. Each reservation shows the last known utilization percentage.
 1. Select the utilization percentage to see the utilization history and details. The following video shows an example.
-   > [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE4sYwk] 
+   > [!VIDEO https://learn-video.azurefd.net/vod/player?id=86c2724a-8d23-48cf-9a11-321503ca499a] 
 
 ## View utilization as billing administrator
 
diff --git a/articles/data-factory/concepts-change-data-capture-resource.md b/articles/data-factory/concepts-change-data-capture-resource.md
@@ -23,7 +23,7 @@ The new Change Data Capture resource in ADF allows for full fidelity change data
 
 :::image type="content" source="media/adf-cdc/change-data-capture-resource-1.png" alt-text="Screenshot of new top-level resource in Factory Resources panel.":::
 
-> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5geIG]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=add55f05-eabf-4185-8db6-aef373d635f1]
 
 > [!NOTE]
 > The Change Data Capture resource in Azure Data Factory is currently in public preview
diff --git a/articles/data-factory/concepts-change-data-capture.md b/articles/data-factory/concepts-change-data-capture.md
@@ -31,7 +31,7 @@ The easiest and quickest way to get started in data factory with CDC is through
 
 The changed data including inserted, updated and deleted rows can be automatically detected and extracted by ADF mapping data flow from the source databases.  No timestamp or ID columns are required to identify the changes since it uses the native change data capture technology in the databases.  By simply chaining a source transform and a sink transform reference to a database dataset in a mapping data flow, you can see the changes happened on the source database to be automatically applied to the target database, so that you can easily synchronize data between two tables.  You can also add any transformations in between for any business logic to process the delta data. When defining your sink data destination, you can set insert, update, upsert, and delete operations in your sink without the need of an Alter Row transformation because ADF is able to automatically detect the row makers.
 
-> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5bkg2]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=ba3e201c-c9d0-4c1d-806c-b3c8ca601de2]
 
 **Supported connectors**
 -   [SAP CDC](connector-sap-change-data-capture.md)
diff --git a/articles/data-factory/concepts-data-flow-column-pattern.md b/articles/data-factory/concepts-data-flow-column-pattern.md
@@ -20,7 +20,7 @@ Several mapping data flows transformations allow you to reference template colum
 * If incoming source fields change often such as the case of changing columns in text files or NoSQL databases. This scenario is known as [schema drift](concepts-data-flow-schema-drift.md).
 * If you wish to do a common operation on a large group of columns. For example, wanting to cast every column that has 'total' in its column name into a double.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4Iui1]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=8848564b-ff1c-4ad5-9ccd-74357f93a348]
 
 ## Column patterns in derived column and aggregate
 
diff --git a/articles/data-factory/concepts-data-flow-debug-mode.md b/articles/data-factory/concepts-data-flow-debug-mode.md
@@ -42,7 +42,7 @@ In most cases, it's a good practice to build your Data Flows in debug mode so th
 > Every debug session that a user starts from their browser UI is a new session with its own Spark cluster. You can use the monitoring view for debug sessions shown in the previous images to view and manage debug sessions. You are charged for every hour that each debug session is executing including the TTL time.
 
 This video clip talks about tips, tricks, and good practices for data flow debug mode.
-> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5c8Jx]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=8e101169-59fb-4371-aa88-039304f61b53]
 
 ## Cluster status
 
diff --git a/articles/data-factory/concepts-data-flow-flowlet.md b/articles/data-factory/concepts-data-flow-flowlet.md
@@ -18,7 +18,7 @@ ms.date: 10/20/2023
  
  With flowlets you can create logic to do things such as address cleaning or string trimming. You can then map the input and outputs to columns in the calling data flow for a dynamic code reuse experience.
 
-> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RWQK3m]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=18076f34-9a6b-41bb-a2a8-88b2f279307f]
 
 ## Getting started
 To create a flowlet, select the new flowlet action from the mapping data flow menu options.
diff --git a/articles/data-factory/concepts-data-flow-monitoring.md b/articles/data-factory/concepts-data-flow-monitoring.md
@@ -16,7 +16,7 @@ ms.date: 10/20/2023
 
 After you have completed building and debugging your data flow, you want to schedule your data flow to execute on a schedule within the context of a pipeline. You can schedule the pipeline using Triggers. For testing and debugging your data flow from a pipeline, you can use the Debug button on the toolbar ribbon or Trigger Now option from the Pipeline Builder to execute a single-run execution to test your data flow within the pipeline context.
 
-> [!VIDEO https://www.microsoft.com/videoplayer/embed/RE4P5pV]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=5526e304-14f3-40cf-bd60-2f4bccf1fddb]
 
 When you execute your pipeline, you can monitor the pipeline and all of the activities contained in the pipeline including the Data Flow activity. Select the monitor icon in the left-hand UI panel. You can see a screen similar to the one that follows. The highlighted icons allow you to drill into the activities in the pipeline, including the Data Flow activity.
 
diff --git a/articles/data-factory/concepts-data-flow-performance-sinks.md b/articles/data-factory/concepts-data-flow-performance-sinks.md
@@ -22,7 +22,7 @@ With Azure SQL Database, the default partitioning should work in most cases. The
 
 Here's a video walk-through of how to use data flows with exists, alter row, and sink transformations to achieve this common pattern: 
 
-> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RWMLr5]
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=45ca63d6-06e0-4d90-bf2d-437220de663b]
 
 ### Impact of error row handling to performance
 
