updated video id

weslbo · weslbo · commit aa57f2e75cd0 · 2026-02-05T07:26:12.000+01:00
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/1-introduction.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/1-introduction.yml
@@ -4,7 +4,7 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction to governing Unity Catalog objects in Azure Databricks"
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/2-preserve-table-column-definitions.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/2-preserve-table-column-definitions.yml
@@ -4,7 +4,7 @@ title: Create and preserve table definitions
 metadata:
   title: Create and Preserve Table Definitions
   description: Learn how to create, implement, and preserve table and column definitions and descriptions for data discovery in Unity Catalog using comments, tags, and exploration tools.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/3-configure-attribute-based-access-control-tags-policies.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/3-configure-attribute-based-access-control-tags-policies.yml
@@ -4,7 +4,7 @@ title: Configure ABAC with tags and policies
 metadata:
   title: Configure ABAC with Tags and Policies
   description: Learn how to configure attribute-based access control (ABAC) using governed tags and policies to implement dynamic, fine-grained access control in Unity Catalog.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/4-apply-data-retention-policies.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/4-apply-data-retention-policies.yml
@@ -4,7 +4,7 @@ title: Apply data retention policies
 metadata:
   title: Apply Data Retention Policies
   description: Learn how to configure and enforce data retention policies in Azure Databricks using Delta Lake VACUUM, deletion operations for regulatory compliance, and predictive optimization for automated maintenance.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/5-manage-data-lineage-tracking.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/5-manage-data-lineage-tracking.yml
@@ -4,7 +4,7 @@ title: Set up and manage data lineage
 metadata:
   title: Set Up and Manage Data Lineage
   description: Learn how to set up and manage data lineage tracking by using Catalog Explorer, including owner, history, dependencies, and lineage in Azure Databricks.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/6-configure-audit-logging.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/6-configure-audit-logging.yml
@@ -4,7 +4,7 @@ title: Configure audit logging
 metadata:
   title: Configure Audit Logging
   description: Learn how to configure and query audit logs in Azure Databricks to track user activity, investigate security incidents, and meet compliance requirements using Unity Catalog.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/7-secure-delta-sharing-strategy.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/7-secure-delta-sharing-strategy.yml
@@ -4,7 +4,7 @@ title: Design secure Delta Sharing strategy
 metadata:
   title: Design Secure Delta Sharing Strategy
   description: Learn how to design a secure Delta Sharing strategy in Azure Databricks by choosing the right sharing protocol, implementing access controls, and monitoring sharing activity through audit logs.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/8-knowledge-check.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/8-knowledge-check.yml
@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/9-summary.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/9-summary.yml
@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: unit
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/1-introduction.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/1-introduction.md
@@ -1,4 +1,4 @@
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=01]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=7759ad6f-e9a1-46f4-8aed-25281fba4634]
 
 Effective data governance requires more than just controlling access—it demands visibility into your data assets, accountability for how they're used, and enforcement mechanisms that scale with your organization. As data platforms grow in complexity, managing table definitions, tracking data lineage, enforcing retention policies, and sharing data securely become increasingly challenging. **Unity Catalog** in Azure Databricks provides the foundation for comprehensive governance that addresses these challenges through centralized metadata management and policy enforcement.
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/2-preserve-table-column-definitions.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/2-preserve-table-column-definitions.md
@@ -2,7 +2,7 @@
 
 In this unit, you learn how to create tables with descriptive comments and tags, and use discovery tools to explore your data assets in Unity Catalog.
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=02]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=4dcfda01-41a5-403a-a5ad-badfd736e74c]
 
 ## Add comments to tables and columns
 
@@ -74,7 +74,7 @@ After adding comments, any user with the `BROWSE` privilege can view them in Cat
 
 **Tags** are key-value pairs that help you organize and categorize data assets in Unity Catalog. Unlike comments, which provide descriptive text, tags enable structured classification and improve search functionality.
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=03]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=7f00114e-2681-48ea-a6dc-f59b73cf6d01]
     
 ### Add tags using SQL
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/3-configure-attribute-based-access-control-tags-policies.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/3-configure-attribute-based-access-control-tags-policies.md
@@ -1,4 +1,4 @@
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=04]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=5c876d18-dc54-41e5-a8db-12a6e0b7fd41]
 
 Attribute-based access control (ABAC) provides a flexible, scalable approach to data governance in Unity Catalog. Instead of managing individual permissions for every table and user combination, you define policies based on attributes. When you tag data assets with meaningful classifications, ABAC policies automatically enforce the right access controls.
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/4-apply-data-retention-policies.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/4-apply-data-retention-policies.md
@@ -1,4 +1,4 @@
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=05]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=a3b03ec4-23e8-4ed5-9928-fd65d021e7ca]
 
 Every organization faces the challenge of balancing data availability with compliance requirements and storage costs. When you implement **data retention policies** in Azure Databricks, you ensure that data is kept only as long as necessary while remaining accessible for legitimate business needs. This becomes especially critical when regulations require you to delete personal data upon request.
 
@@ -130,7 +130,7 @@ You can monitor predictive optimization operations through the system table `sys
 
 ## Integrate with Azure Storage lifecycle policies
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=06]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=8954bdc7-532d-4d10-8a73-826a09dafb32]
 
 For data stored in Azure Blob Storage, you can complement Delta Lake retention with **Azure Storage lifecycle management policies**. These policies automatically transition data to cooler storage tiers or delete blobs based on access patterns and age.
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/5-manage-data-lineage-tracking.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/5-manage-data-lineage-tracking.md
@@ -1,4 +1,4 @@
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=07]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=dff93cc3-d88e-4db3-844c-c0aef80e141e]
 
 Understanding where your data comes from, how it transforms, and where it flows is essential for effective data governance. When you set up and manage **data lineage tracking** in Unity Catalog, you gain visibility into data dependencies, ownership, and history. This visibility helps you perform **impact analysis** before making changes, troubleshoot data quality issues, and meet compliance requirements.
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/6-configure-audit-logging.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/6-configure-audit-logging.md
@@ -1,4 +1,4 @@
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=08]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=8c5875e6-a71b-4054-af29-2782014dd89d]
 
 Tracking who did what, when, and to which data objects is essential for governance, security, and compliance. When you configure **audit logging** in Azure Databricks, you gain visibility into every significant action across your workspace and account. This visibility helps you meet regulatory requirements, investigate security incidents, and maintain accountability across your data platform.
 
@@ -143,7 +143,7 @@ When you enable or disable verbose logging, Azure Databricks logs this configura
 
 ## Configure log delivery to external systems
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=09]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=7cd58862-808c-4bbe-affb-53786093261e]
 
 While the audit log system table provides direct access within Databricks, many organizations route logs to external systems for centralized monitoring. Azure Databricks integrates with Azure diagnostic settings to deliver logs to multiple destinations, each optimized for different use cases:
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/7-secure-delta-sharing-strategy.md b/learn-pr/wwl-databricks/govern-unity-catalog-objects/includes/7-secure-delta-sharing-strategy.md
@@ -1,4 +1,4 @@
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=10]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=1e630728-2356-4512-98b4-4edd362a6080]
 
 Sharing data securely with external partners, other teams, or across organizational boundaries requires a deliberate strategy. **Delta Sharing** in Azure Databricks lets you share live data without copying it, while maintaining full control over who accesses what. Designing a secure sharing strategy means choosing the right authentication method, applying appropriate access controls, and establishing monitoring practices that keep your data governance intact.
 
diff --git a/learn-pr/wwl-databricks/govern-unity-catalog-objects/index.yml b/learn-pr/wwl-databricks/govern-unity-catalog-objects/index.yml
@@ -3,7 +3,7 @@ uid: learn.wwl.govern-unity-catalog-objects
 metadata:
   title: Govern Unity Catalog Objects
   description: Learn how to govern data and AI assets in Azure Databricks using Unity Catalog, including access control, data lineage, audit logging, and secure sharing.
-  ms.date: 02/03/2026
+  ms.date: 02/05/2026
   author: weslbo
   ms.author: wedebols
   ms.topic: module

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`->[!VIDEO https://learn-video.azurefd.net/vod/player?id=01]`
	`1`	`+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=7759ad6f-e9a1-46f4-8aed-25281fba4634]`
`2`	`2`
`3`	`3`	Effective data governance requires more than just controlling access—it demands visibility into your data assets, accountability for how they're used, and enforcement mechanisms that scale with your organization. As data platforms grow in complexity, managing table definitions, tracking data lineage, enforcing retention policies, and sharing data securely become increasingly challenging. Unity Catalog in Azure Databricks provides the foundation for comprehensive governance that addresses these challenges through centralized metadata management and policy enforcement.
`4`	`4`