Merge pull request #53707 from weslbo/DP-750-updates

added videos

Author: Carolyn135

learn-pr/wwl-databricks/implement-lakeflow-jobs/1-introduction.yml

@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction to implementing Lakeflow Jobs in Azure Databricks"
-  ms.date: 12/07/2025
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/2-create-lakeflow-job.yml

@@ -4,7 +4,7 @@ title: Create job setup and configuration
 metadata:
   title: Create Job Setup and Configuration
   description: Learn how to create and configure a Lakeflow Job in Azure Databricks, including setting up tasks, selecting compute resources, organizing task dependencies, and configuring job access permissions.
-  ms.date: 01/15/2026
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/3-configure-job-triggers.yml

@@ -4,7 +4,7 @@ title: Configure job triggers
 metadata:
   title: Configure Job Triggers
   description: Learn how to configure job triggers in Lakeflow Jobs including table update triggers, file arrival triggers, and continuous triggers for automated data pipeline execution.
-  ms.date: 12/07/2025
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/4-schedule-job.yml

@@ -4,7 +4,7 @@ title: Schedule a job
 metadata:
   title: Schedule a Job
   description: Learn how to schedule Lakeflow Jobs in Azure Databricks using simple intervals or advanced cron expressions to automate your data pipelines.
-  ms.date: 01/15/2026
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/5-configure-job-alerts.yml

@@ -4,7 +4,7 @@ title: Configure job alerts
 metadata:
   title: Configure Job Alerts
   description: Learn how to configure job alerts and notifications in Azure Databricks, including notification events, system destinations, and best practices for avoiding alert fatigue.
-  ms.date: 12/07/2025
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/6-configure-job-automatic-restarts.yml

@@ -4,7 +4,7 @@ title: Configure automatic restarts
 metadata:
   title: Configure Automatic Restarts
   description: Learn how to configure automatic restarts and retry policies for Lakeflow Jobs in Azure Databricks to handle transient failures and maintain pipeline reliability.
-  ms.date: 12/07/2025
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/7-knowledge-check.yml

@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 12/07/2025
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/8-summary.yml

@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 12/07/2025
+  ms.date: 03/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-databricks/implement-lakeflow-jobs/includes/1-introduction.md

@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=2c80d1c5-45cc-482c-87ae-35e7369f26c0]
+
 Data pipelines rarely succeed when run manually at arbitrary times. **Production workloads** demand automation—jobs that execute reliably, respond to data changes, and recover from failures without human intervention. **Lakeflow Jobs** in Azure Databricks provides the **orchestration layer** that transforms ad hoc data processing into robust, automated workflows.
 
 Building effective data pipelines requires more than writing transformation logic. You need to configure how tasks execute, when they run, and what happens when something goes wrong. A well-designed job coordinates multiple tasks with proper **dependencies**, allocates appropriate **compute resources**, and maintains visibility through alerts and notifications. Without these capabilities, even the best data transformations become operational liabilities that require constant monitoring and manual restarts.

learn-pr/wwl-databricks/implement-lakeflow-jobs/includes/2-create-lakeflow-job.md

@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=cc9a82b0-d30e-437c-87cb-e96240966031]
+
 When you need to automate data processing or orchestrate multiple operations in Azure Databricks, you create a **Lakeflow Job**. A job coordinates tasks, manages their execution order, and allocates compute resources to run your workloads reliably.
 
 In this unit, you learn how to create and configure a Lakeflow Job, including setting up tasks, selecting compute resources, and organizing task dependencies.