Azure Data Factory for Beginners - Build Data Ingestion - Publishing the Data Factory to Azure DevOps

This video tutorial guides viewers through the process of cleaning up Azure Data Factory pipelines, publishing changes to Azure DevOps, and configuring a code repository. It emphasizes the importance of version control and proper branching practices. The tutorial also explains how Data Factory stores objects in JSON format and demonstrates navigating through the repository to confirm file uploads.

What is the first step mentioned in the lesson for managing the data factory?

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Why is it necessary to clean up the data factory before publishing?

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What specific pipelines are mentioned to be kept after the cleanup?

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What action is taken to delete the unnecessary pipelines?

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What is the purpose of the ADF publish branch in Azure DevOps?

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What should be done after making changes to the data factory before publishing?

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How does the data factory store its objects, and what format is used?

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