Merge pull request #53153 from weslbo/DP-750-updates

Dp 750 updates (incl video)

Author: Carolyn135

learn-pr/wwl-data-ai/explore-azure-databricks/01-introduction.yml

@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/02-azure-databricks.yml

@@ -4,7 +4,7 @@ title: Get started with Azure Databricks
 metadata:
   title: Get Started With Azure Databricks
   description: "Get started with Azure Databricks"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/03-workloads.yml

@@ -4,7 +4,7 @@ title: Identify Azure Databricks workloads
 metadata:
   title: Identify Azure Databricks Workloads
   description: "Identify Azure Databricks workloads"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/04-key-concepts.yml

@@ -4,7 +4,7 @@ title: Understand key concepts
 metadata:
   title: Understand Key Concepts
   description: "Understand key concepts"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/05-data-governance-using-unity-catalog-and-microsoft-purview.yml

@@ -4,7 +4,7 @@ title: Data governance using Unity Catalog and Microsoft Purview
 metadata:
   title: Data Governance Using Unity Catalog and Microsoft Purview
   description: "Data governance using Unity Catalog and Microsoft Purview"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/06-exercise-explore-databricks.yml

@@ -4,7 +4,7 @@ title: Exercise - Explore Azure Databricks
 metadata:
   title: Exercise - Explore Azure Databricks
   description: "Exercise - Explore Azure Databricks"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/07-knowledge-check.yml

@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module Assessment
   description: "Knowledge check"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/08-summary.yml

@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 09/12/2025
+  ms.date: 01/19/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit

learn-pr/wwl-data-ai/explore-azure-databricks/includes/01-introduction.md

@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=c959967a-8be3-42d8-a78a-a2c54ee1d1c2]
+
 Azure Databricks is a cloud-based data platform that brings together the best of **data engineering, data science, and machine learning** in a single, unified workspace. Built on top of **Apache Spark**, it allows organizations to easily process, analyze, and visualize massive amounts of data in real time.
 
 ![Diagram showing an Overview of Azure Databricks.](../media/databricks-overview.png)
@@ -16,6 +18,8 @@ At its core, Azure Databricks helps organizations:
 
 ## Data Lakehouse
 
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=fe88876f-1235-4ce0-ac98-9f0376d61781]
+
 A **data lakehouse** is a data management approach that blends the strengths of both data lakes and data warehouses. It offers scalable storage and processing, allowing organizations to handle diverse workloads—such as machine learning and business intelligence—without relying on separate, disconnected systems. By centralizing data, a lakehouse supports a single source of truth, reduces duplicate costs, and ensures that information stays up to date.
 
 Many lakehouses follow a layered design pattern where data is gradually improved, enriched, and refined as it moves through different stages of processing. This layered approach—commonly called the **medallion architecture**—organizes data into stages that build on one another, making it easier to manage and use effectively.

learn-pr/wwl-data-ai/explore-azure-databricks/includes/02-azure-databricks.md

@@ -1,3 +1,5 @@
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=d4fcf5c1-5d99-439c-8bba-157f93385e15]
+
 To use Azure Databricks, you must create an Azure Databricks workspace in your Azure subscription. A workspace is an Azure Databricks deployment in a cloud service account. It provides a unified environment for working with Azure Databricks assets for a specified set of users.
 
 You can create an Azure Databricks workspace by:
@@ -60,6 +62,8 @@ The workspace is available in **multiple languages.** To change the workspace la
 
 ## Get help from Databricks Assistant
 
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=06416086-5e53-47c0-8804-8387d1973871]
+
 **Databricks Assistant** is an AI-powered pair programmer and support tool that helps you work more efficiently in Databricks by generating, explaining, and fixing code or queries directly in notebooks, dashboards, and files. 
 
 ![Screenshot of the Azure Databricks Assistant.](../media/databricks-assistant.png)