Merge pull request #47716 from whhender/updating-author

Updating author

Author: Jill Grant

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/1-introduction.yml

@@ -5,8 +5,8 @@ metadata:
   title: Introduction
   description: "Introduce users to our training module to build a data governance and master data management stack with Microsoft Purview and CluedIn."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964
+  ms.author: mannan
   ms.topic: unit
 durationInMinutes: 5
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/10-clean-data-quality-issues.yml

@@ -5,8 +5,8 @@ metadata:
   title: Clean data quality issues
   description: "Now that we addressed the duplicate records in the system, we need to fix the data quality issues that we detected when we looked at the raw data."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 10
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/11-exercise-incrementally-increase-readiness.yml

@@ -5,8 +5,8 @@ metadata:
   title: Exercise
   description: "CluedIn was designed so that you can decide to improve the data in any order that you want. For example, we could enrich data first and deduplicate the data afterwards. Or, we could clean the data first, then deduplicate the data, and then enrich the data afterwards. This flexibility means your data can be continually improved without having to rework the entire system."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 7
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/12-summary.yml

@@ -5,8 +5,8 @@ metadata:
   title: Summary
   description: "Delivering high quality data throughout the business is no small feat, but in this module we were able to complete an agile data pipeline to provide good, quality data to our end users."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 1
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/2-exercise-deploy-configure-environment.yml

@@ -5,8 +5,8 @@ metadata:
   title: Deploy and configure your environment
   description: "Configure your environment for master data management and data governance with Microsoft Purview and CluedIn. Deploy Azure Data Lake Storage (ADLS) Gen2 and Azure Data Factory resources to create a full data stack."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 30
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/3-roles-and-responsibilities.yml

@@ -5,8 +5,8 @@ metadata:
   title: Roles and responsibilities
   description: "Overview of the roles and responsibilities of each product in our data governance and master data management stack. The products in the overview include Azure Data Lake Storage (ADLS) Gen2, Microsoft Purview, CluedIn, and Azure Data Factory (ADF)."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 5
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/4-integrate-deployed-technologies.yml

@@ -5,8 +5,8 @@ metadata:
   title: Integrate deployed technologies
   description: "Now that we created our resources, we need to connect them. This module creates a complete, end to end data flow that allows users to curate and manage their data in real time for quick value add. Transform raw data into valuable information."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 50
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/5-map-data.yml

@@ -5,8 +5,8 @@ metadata:
   title: Map your data
   description: "Now that the data is onboarded into CluedIn in a staging area, we have to map the data from its current form into the new desired state. For this task, we map the data in the CluedIn Studio."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 15
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/6-stream-data.yml

@@ -5,8 +5,8 @@ metadata:
   title: Stream your data
   description: "Agility and time to value are of upmost importance in today's modern technology stack. We can provide this value immediately to our end users by streaming the data to an available location and then iterate over our model to continue to make improvements."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 15
 content: |

learn-pr/azure/building-end-to-end-data-governance-master-data-stack-with-microsoft-purview-cluedin/7-explore-the-results.yml

@@ -5,8 +5,8 @@ metadata:
   title: Explore the results
   description: "With your data now mapped into the CluedIn platform and streaming to Azure Data Lake Storage (ADLS) Gen 2, we explore the data in the CluedIn Studio."
   ms.date: 05/28/2024
-  author: whhender
-  ms.author: whhender
+  author: mannan1964 
+  ms.author: mannan 
   ms.topic: unit
 durationInMinutes: 5
 content: |