Merge pull request #53742 from weslbo/DP-750-updates

v-regandowner · web-flow · commit 514b3bf26e91 · 2026-03-09T10:38:21.000-04:00
added videos
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/1-introduction.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/1-introduction.yml
@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction to implementing development lifecycle processes in Azure Databricks"
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/2-apply-version-control-git.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/2-apply-version-control-git.yml
@@ -4,7 +4,7 @@ title: Apply Git version control best practices
 metadata:
   title: Apply Git Version Control Best Practices
   description: Learn how to apply version control best practices using Git folders in Azure Databricks, including cloning repositories, working on branches, committing changes, and keeping your repository organized.
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/3-manage-branching-pull-requests-conflicts.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/3-manage-branching-pull-requests-conflicts.yml
@@ -4,7 +4,7 @@ title: Manage branching and pull requests
 metadata:
   title: Manage Branching and Pull Requests
   description: Learn how to manage Git branching, pull requests, and conflict resolution in Azure Databricks Git folders for collaborative development workflows.
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/4-implement-testing-strategy.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/4-implement-testing-strategy.yml
@@ -4,7 +4,7 @@ title: Implement testing strategy
 metadata:
   title: Implement Testing Strategy
   description: Learn how to implement a testing strategy including unit tests, integration tests, end-to-end tests, and user acceptance testing (UAT) in Azure Databricks.
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/5-configure-package-databricks-asset-bundles.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/5-configure-package-databricks-asset-bundles.yml
@@ -4,7 +4,7 @@ title: Configure and package DABs
 metadata:
   title: Configure and Package DABs
   description: Learn how to configure and customize Databricks Asset Bundles (DABs) for deployment automation, including bundle configuration structure, variables, resources, and deployment targets.
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/6-deploy-bundle-databricks-cli.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/6-deploy-bundle-databricks-cli.yml
@@ -4,7 +4,7 @@ title: Deploy bundle with Databricks CLI
 metadata:
   title: Deploy Bundle with Databricks CLI
   description: Learn how to deploy data asset bundles to Azure Databricks using CLI commands, including validation, deployment planning, and troubleshooting common issues.
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/7-knowledge-check.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/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: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/8-summary.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/8-summary.yml
@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/1-introduction.md b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/1-introduction.md
@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=31cbad27-483b-4952-a0fc-0e52a1a460f4]
+
 Building reliable data engineering solutions in Azure Databricks requires more than writing code that works—it demands processes that enable collaboration, ensure quality, and support consistent deployments across environments. When data pipelines grow in complexity and team members contribute simultaneously, you need systematic approaches to track changes, validate code, and move work from development to production reliably.
 
 Azure Databricks integrates with established development practices through **Git folders**, which bring version control directly into your workspace. This integration lets you clone repositories, create branches, commit changes, and collaborate with team members without leaving your development environment. Combined with **Databricks Asset Bundles (DABs)**, you gain an infrastructure-as-code approach for defining and deploying jobs, pipelines, and other resources consistently across workspaces.
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/2-apply-version-control-git.md b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/2-apply-version-control-git.md
@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=09b1546c-02c8-4441-b020-a0f296417232]
+
 Data engineering projects require systematic tracking of code changes, collaboration across teams, and the ability to **reproduce work reliably**. When you apply version control best practices using Git within Azure Databricks, you establish a foundation for professional development workflows. **Git folders** integrate directly into your workspace, providing a visual interface for managing repositories without leaving your development environment.
 
 ## Understand Git folders in Azure Databricks
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/3-manage-branching-pull-requests-conflicts.md b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/3-manage-branching-pull-requests-conflicts.md
@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=08b19b6b-832c-4b15-a30a-7f1fc6f930c6]
+
 Collaborative development in Azure Databricks relies on effective **version control practices**. When multiple team members work on notebooks and code files simultaneously, you need a structured approach to **isolate changes**, **review code**, and **integrate work** without disrupting production workflows.
 
 :::image type="content" source="../media/3-manage-branching-pull-requests-conflicts.png" alt-text="Diagram showing how to manage branching, pull requests and conflicts." border="false" lightbox="../media/3-manage-branching-pull-requests-conflicts.png":::
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/4-implement-testing-strategy.md b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/4-implement-testing-strategy.md
@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=b1a39982-a278-4579-a505-b2912901d954]
+
 Testing forms a critical foundation of reliable data engineering solutions. When you implement a **comprehensive testing strategy**, you catch problems early, validate assumptions, and ensure your pipelines deliver consistent, trustworthy results. As data volumes grow and pipelines become more complex, **automated testing** becomes essential for maintaining quality and reducing the risk of production failures.
 
 In this unit, you learn how to implement a testing strategy that covers **unit tests**, **integration tests**, **end-to-end tests**, and **user acceptance testing (UAT)** in Azure Databricks.
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/5-configure-package-databricks-asset-bundles.md b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/5-configure-package-databricks-asset-bundles.md
@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=23dc491a-a896-40ed-83b6-984f46a7e651]
+
 When you work on data engineering projects, you need a systematic way to define, package, and deploy your Databricks resources across environments. **Databricks Asset Bundles (DABs)** provide an **infrastructure-as-code** approach that lets you describe jobs, pipelines, and other resources in YAML configuration files. By configuring and customizing these bundles, you can **automate deployments** and ensure consistency between development and production workspaces.
 
 :::image type="content" source="../media/5-configure-package-databricks-asset-bundles.png" alt-text="Diagram explaining Databricks asset bundles." border="false" lightbox="../media/5-configure-package-databricks-asset-bundles.png":::
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/6-deploy-bundle-databricks-cli.md b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/includes/6-deploy-bundle-databricks-cli.md
@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=ba441582-fe5d-4a1a-8f64-a1b426799f87]
+
 After your team packages a data asset bundle, deploying it to Azure Databricks becomes your next responsibility. The **Databricks CLI** provides a direct path from your local development environment to production workspaces. You control when and where your pipelines, jobs, and other resources go live. Understanding this **deployment workflow** enables you to move code reliably across environments while maintaining consistency.
 
 :::image type="content" source="../media/6-deploy-bundle-databricks-cli.png" alt-text="Diagram explaining the different steps when deploying a bundle with Databricks CLI." border="false" lightbox="../media/6-deploy-bundle-databricks-cli.png":::
diff --git a/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/index.yml b/learn-pr/wwl-databricks/implement-development-lifecycle-processes-in-azure-databricks/index.yml
@@ -3,7 +3,7 @@ uid: learn.wwl.implement-development-lifecycle-processes-azure-databricks
 metadata:
   title: Implement Development Lifecycle Processes in Azure Databricks
   description: Learn how to implement development lifecycle processes in Azure Databricks, including Git version control, branching strategies, testing approaches, and Databricks Asset Bundle deployment using the CLI.
-  ms.date: 12/07/2025
+  ms.date: 03/09/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: module

Original file line number	Diff line number	Diff line change
`@@ -1,3 +1,5 @@`
	`1`	`+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=31cbad27-483b-4952-a0fc-0e52a1a460f4]`
	`2`	`+`
`1`	`3`	`Building reliable data engineering solutions in Azure Databricks requires more than writing code that works—it demands processes that enable collaboration, ensure quality, and support consistent deployments across environments. When data pipelines grow in complexity and team members contribute simultaneously, you need systematic approaches to track changes, validate code, and move work from development to production reliably.`
`2`	`4`
`3`	`5`	`Azure Databricks integrates with established development practices through Git folders, which bring version control directly into your workspace. This integration lets you clone repositories, create branches, commit changes, and collaborate with team members without leaving your development environment. Combined with Databricks Asset Bundles (DABs), you gain an infrastructure-as-code approach for defining and deploying jobs, pipelines, and other resources consistently across workspaces.`
Original file line number	Diff line number	Diff line change
`@@ -1,3 +1,5 @@`
	`1`	`+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=09b1546c-02c8-4441-b020-a0f296417232]`
	`2`	`+`
`1`	`3`	`Data engineering projects require systematic tracking of code changes, collaboration across teams, and the ability to reproduce work reliably. When you apply version control best practices using Git within Azure Databricks, you establish a foundation for professional development workflows. Git folders integrate directly into your workspace, providing a visual interface for managing repositories without leaving your development environment.`
`2`	`4`
`3`	`5`	`## Understand Git folders in Azure Databricks`