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Merge pull request #234292 from Blackmist/adding-preview
adding preview flag per conversation with PM
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articles/machine-learning/how-to-connection.md

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---
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title: Use connections
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title: Use connections (preview)
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titleSuffix: Azure Machine Learning
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description: Learn how to use connections to connect to External data sources for training with Azure Machine Learning.
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services: machine-learning
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# Customer intent: As an experienced data scientist with Python skills, I have data located in external sources outside of Azure. I need to make that data available to the Azure Machine Learning platform, to train my machine learning models.
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# Create connections
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# Create connections (preview)
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[!INCLUDE [dev v2](../../includes/machine-learning-dev-v2.md)]
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- Amazon S3
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- Azure SQL DB
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[!INCLUDE [machine-learning-preview-generic-disclaimer](../../includes/machine-learning-preview-generic-disclaimer.md)]
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## Prerequisites
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- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
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## Next steps
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- [Import data assets](how-to-import-data-assets.md#import-data-assets)
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- [Import data assets](how-to-import-data-assets.md)

articles/machine-learning/how-to-import-data-assets.md

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---
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title: Import Data
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title: Import Data (preview)
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titleSuffix: Azure Machine Learning
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description: Learn how to import data from external sources on to Azure Machine Learning platform
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services: machine-learning
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ms.custom: data4ml
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---
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# Import data assets
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# Import data assets (preview)
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[!INCLUDE [dev v2](../../includes/machine-learning-dev-v2.md)]
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> [!div class="op_single_selector" title1="Select the version of Azure Machine Learning SDK you are using:"]
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You can now import data from Snowflake, Amazon S3 and Azure SQL.
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[!INCLUDE [machine-learning-preview-generic-disclaimer](../../includes/machine-learning-preview-generic-disclaimer.md)]
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## Prerequisites
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To create and work with data assets, you need:

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