Merge pull request #50855 from wwlpublish/3fe96251a93e51db0eb091ffd5b1261183515fe9ffb0228444ef4420d8125088-live

Stacyrch140 · web-flow · commit 805530bc4e33 · 2025-06-10T13:10:33.000-04:00
Modules/M03-design-data-integration
diff --git a/learn-pr/wwl-azure/design-data-integration/1-introduction.yml b/learn-pr/wwl-azure/design-data-integration/1-introduction.yml
@@ -2,9 +2,11 @@
 uid: learn.wwl.design-data-integration.introduction
 title: Introduction
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Introduction
   description: "Introduction"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
diff --git a/learn-pr/wwl-azure/design-data-integration/2-solution-azure-data-factory.yml b/learn-pr/wwl-azure/design-data-integration/2-solution-azure-data-factory.yml
@@ -2,14 +2,16 @@
 uid: learn.wwl.design-data-integration.solution-azure-data-factory
 title: Design a data integration solution with Azure Data Factory
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design a data integration solution with Azure Data Factory
   description: "Design a data integration solution with Azure Data Factory"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
   ms.custom:
   - N/A
-durationInMinutes: 6
+durationInMinutes: 8
 content: |
   [!include[](includes/2-solution-azure-data-factory.md)]
diff --git a/learn-pr/wwl-azure/design-data-integration/3-solution-azure-data-lake.yml b/learn-pr/wwl-azure/design-data-integration/3-solution-azure-data-lake.yml
@@ -2,14 +2,16 @@
 uid: learn.wwl.design-data-integration.solution-azure-data-lake
 title: Design a data integration solution with Azure Data Lake
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design a data integration solution with Azure Data Lake
   description: "Design a data integration solution with Azure Data Lake"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
   ms.custom:
   - N/A
-durationInMinutes: 7
+durationInMinutes: 8
 content: |
   [!include[](includes/3-solution-azure-data-lake.md)]
diff --git a/learn-pr/wwl-azure/design-data-integration/4-solution-azure-data-brick.yml b/learn-pr/wwl-azure/design-data-integration/4-solution-azure-data-brick.yml
@@ -2,14 +2,16 @@
 uid: learn.wwl.design-data-integration.solution-azure-data-brick
 title: Design a data integration and analytic solution with Azure Databricks
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design a data integration and analytic solution with Azure Databricks
   description: "Design a data integration and analytic solution with Azure Databricks"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
   ms.custom:
   - N/A
-durationInMinutes: 7
+durationInMinutes: 8
 content: |
   [!include[](includes/4-solution-azure-data-brick.md)]
diff --git a/learn-pr/wwl-azure/design-data-integration/5-solution-azure-synapse-analytics.yml b/learn-pr/wwl-azure/design-data-integration/5-solution-azure-synapse-analytics.yml
@@ -2,14 +2,16 @@
 uid: learn.wwl.design-data-integration.solution-azure-synapse-analytics
 title: Design a data integration and analytic solution with Azure Synapse Analytics
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design a data integration and analytic solution with Azure Synapse Analytics
   description: "Design a data integration and analytic solution with Azure Synapse Analytics"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
   ms.custom:
   - N/A
-durationInMinutes: 7
+durationInMinutes: 9
 content: |
   [!include[](includes/5-solution-azure-synapse-analytics.md)]
diff --git a/learn-pr/wwl-azure/design-data-integration/6-design-strategy-for-hot-warm-cold-data-path.yml b/learn-pr/wwl-azure/design-data-integration/6-design-strategy-for-hot-warm-cold-data-path.yml
@@ -2,9 +2,11 @@
 uid: learn.wwl.design-data-integration.design-strategy-for-hot-warm-cold-data-path
 title: Design strategies for hot, warm, and cold data paths
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design strategies for hot, warm, and cold data paths
   description: "Design strategies for hot, warm, and cold data paths"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
diff --git a/learn-pr/wwl-azure/design-data-integration/7-design-azure-stream-analytics-solution-for-data-analysis.yml b/learn-pr/wwl-azure/design-data-integration/7-design-azure-stream-analytics-solution-for-data-analysis.yml
@@ -2,9 +2,11 @@
 uid: learn.wwl.design-data-integration.design-azure-stream-analytics-solution-for-data-analysis
 title: Design an Azure Stream Analytics solution for data analysis
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design an Azure Stream Analytics solution for data analysis
   description: "Design an Azure Stream Analytics solution for data analysis"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
diff --git a/learn-pr/wwl-azure/design-data-integration/8-knowledge-check.yml b/learn-pr/wwl-azure/design-data-integration/8-knowledge-check.yml
@@ -2,9 +2,11 @@
 uid: learn.wwl.design-data-integration.knowledge-check
 title: Module assessment
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
diff --git a/learn-pr/wwl-azure/design-data-integration/9-summary-resources.yml b/learn-pr/wwl-azure/design-data-integration/9-summary-resources.yml
@@ -2,9 +2,11 @@
 uid: learn.wwl.design-data-integration.summary-resources
 title: Summary and resources
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Summary and resources
   description: "Summary and resources"
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: unit
diff --git a/learn-pr/wwl-azure/design-data-integration/includes/2-solution-azure-data-factory.md b/learn-pr/wwl-azure/design-data-integration/includes/2-solution-azure-data-factory.md
@@ -1,5 +1,7 @@
 [Azure Data Factory](/azure/data-factory/introduction) is a cloud-based data integration service that can help you create and schedule data-driven workflows. You can use Azure Data Factory to orchestrate data movement and transform data at scale. The data-driven workflows, or *pipelines*, ingest data from disparate data stores. Azure Data Factory is an ETL data integration process, which stands for extract, transform, and load. This integration process combines data from multiple data sources into a single data store.
 
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=b3963d84-6dfc-489d-9c05-140ac540eff7]
+
 ### Things to know about Azure Data Factory
 
 There are four major steps to create and implement a data-driven workflow in the Azure Data Factory architecture:
diff --git a/learn-pr/wwl-azure/design-data-integration/includes/3-solution-azure-data-lake.md b/learn-pr/wwl-azure/design-data-integration/includes/3-solution-azure-data-lake.md
@@ -1,4 +1,6 @@
-A data lake is a repository of data stored in its natural format, usually as blobs or files. [Azure Data Lake](/azure/storage/blobs/data-lake-storage-introduction) Storage is a comprehensive, scalable, and cost-effective data lake solution for big data analytics built into Azure. Azure Data Lake Storage combines a file system with a storage platform to help you quickly identify insights into your data. The solution builds on Azure Blob Storage capabilities to provide optimizations for analytics workloads. This integration enables analytics performance, high-availability, security, and durability capabilities of Azure Storage.
+A data lake is a repository of data stored in its natural format, usually as blobs or files. [Azure Data Lake](/azure/storage/blobs/data-lake-storage-introduction) Storage is a comprehensive, scalable, and cost-effective data lake solution for big data analytics built into Azure. Azure Data Lake Storage combines a file system with a storage platform to help you quickly identify insights into your data. The solution builds on Azure Blob Storage capabilities to provide optimizations for analytics workloads. This integration enables analytics performance, high-availability, security, and durability capabilities of Azure Storage. In this video, the demonstration is not provided. 
+
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=b4c743cb-38b8-4d39-a99a-3e7c39803836]
 
 > [!Note] 
 > The current implementation of the service is Azure Data Lake Storage Gen2.
diff --git a/learn-pr/wwl-azure/design-data-integration/includes/4-solution-azure-data-brick.md b/learn-pr/wwl-azure/design-data-integration/includes/4-solution-azure-data-brick.md
@@ -1,5 +1,7 @@
 [Azure Databricks](/azure/databricks/introduction) is a fully managed, cloud-based Big Data and Machine Learning platform, which empowers developers to accelerate AI and innovation. Azure Databricks provides data science and engineering teams with a single platform for big data processing and Machine Learning. The Azure Databricks managed Apache Spark platform makes it simple to run large-scale Spark workloads.
 
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=05b91305-ff35-44e1-a340-2033a5c3679c]
+
 ### Things to know about Azure Databricks
 
 Azure Databricks is entirely based on Apache Spark, and it's a great tool for users who are already familiar with the open-source cluster-computing framework. Databricks is designed specifically for big data processing. Data scientists can take advantage of the built-in core API for core languages like SQL, Java, Python, R, and Scala.
diff --git a/learn-pr/wwl-azure/design-data-integration/includes/5-solution-azure-synapse-analytics.md b/learn-pr/wwl-azure/design-data-integration/includes/5-solution-azure-synapse-analytics.md
@@ -1,5 +1,7 @@
 [Azure Synapse Analytics](/azure/synapse-analytics/overview-what-is) combines features of big data analytics, enterprise data storage, and data integration. The service lets you run queries on serverless data or data at scale. Azure Synapse supports data ingestion, exploration, transformation, and management, and supports analysis for all your BI and machine learning needs.
 
+> [!VIDEO https://learn-video.azurefd.net/vod/player?id=e16eb645-1418-4407-8fc2-39089ad522b2]
+
 ### Things to know about Azure Synapse Analytics
 
 Azure Synapse Analytics implements a massively parallel processing (MPP) architecture and has the following characteristics.
diff --git a/learn-pr/wwl-azure/design-data-integration/includes/8-knowledge-check.md b/learn-pr/wwl-azure/design-data-integration/includes/8-knowledge-check.md
@@ -1,5 +1,6 @@
 
 
+
 Tailwind Traders has several workloads that are being migrated to Azure. It's important the data solutions are designed to handle the ingestion, processing, and analysis of data based on the following requirements: 
 
 - **Manufacturing data.** The company has been storing manufacturing logs that are collected from the assembly line. You want to analyze these logs to gain insights into material behavior and quality assurance. To analyze these logs, you need to use reference data, such as material information, chemical information, and origin information that's in an on-premises data store. You want to utilize this data from the on-premises data store, combine it with other log data that it has in a cloud data store, and run stored procedures on the data to gain insights.
diff --git a/learn-pr/wwl-azure/design-data-integration/index.yml b/learn-pr/wwl-azure/design-data-integration/index.yml
@@ -1,9 +1,11 @@
 ### YamlMime:Module
 uid: learn.wwl.design-data-integration
 metadata:
+  adobe-target: true
+  prefetch-feature-rollout: true
   title: Design data integration
   description: "Azure Architects design and recommend data integration solutions."
-  ms.date: 12/11/2024
+  ms.date: 06/10/2025
   author: wwlpublish
   ms.author: jileary
   ms.topic: module
