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Merge pull request #101448 from djpmsft/docUpdates
Adding ml video
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articles/data-factory/lab-data-flow-data-share.md

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![Portal](media/lab-data-flow-data-share/configure10.png)
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## Ingest data from Azure SQL DB into ADLS gen2 using the copy activity
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## Ingest data using the copy activity
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In this section, you'll create a pipeline with a copy activity that ingests one table from an Azure SQL DB into an ADLS gen2 storage account. You'll learn how to add a pipeline, configure a dataset and debug a pipeline via the ADF UX. The configuration pattern used in this section can be applies to copying from a relational data store to a file-based data store.
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articles/data-factory/transform-data-machine-learning-service.md

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Run your Azure Machine Learning pipelines as a step in your Azure Data Factory pipelines. The Machine Learning Execute Pipeline activity enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.
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The below video features a six minute introduction and demonstration of this feature.
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> [!VIDEO https://channel9.msdn.com/Shows/Azure-Friday/How-to-execute-Azure-Machine-Learning-service-pipelines-in-Azure-Data-Factory/player]
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## Syntax
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```json

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