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Merge pull request #208442 from ssalgadodev/datav1connection
Data | Network Data Access Add v2 Drop down
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articles/machine-learning/concept-sourcing-human-data.md

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# What is "human data" and why is it important to source responsibly?
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[!INCLUDE [SDK v2](../../includes/machine-learning-sdk-v2.md)]
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[!INCLUDE [CLI v2](../../includes/machine-learning-cli-v2.md)]
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Human data is data collected directly from, or about, people. Human data may include personal data such as names, age, images, or voice clips and sensitive data such as genetic data, biometric data, gender identity, religious beliefs, or political affiliations.
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Collecting this data can be important to building AI systems that work for all users. But certain practices should be avoided, especially ones that can cause physical and psychological harm to data contributors.

articles/machine-learning/v1/concept-data.md

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---
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title: Secure data access in the cloud
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title: Secure data access in the cloud v1
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titleSuffix: Azure Machine Learning
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description: Learn how to securely connect to your data storage on Azure with Azure Machine Learning datastores and datasets.
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description: Learn how to securely connect to your data storage on Azure with Azure Machine Learning datastores and datasets v1
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: enterprise-readiness
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ms.topic: conceptual
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ms.reviewer: nibaccam
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author: nibaccam
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ms.reviewer: ssalgado
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author: ssalgadodev
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ms.author: xunwan
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ms.date: 10/21/2021
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ms.custom: devx-track-python, data4ml, event-tier1-build-2022
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#Customer intent: As an experienced Python developer, I need to securely access my data in my Azure storage solutions and use it to accomplish my machine learning tasks.
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# Secure data access in Azure Machine Learning
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# Data in Azure Machine Learning v1
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[!INCLUDE [CLI v1](../../../includes/machine-learning-cli-v1.md)]
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[!INCLUDE [SDK v1](../../../includes/machine-learning-sdk-v1.md)]
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> [!div class="op_single_selector" title1="Select the version of Azure Machine Learning developer platform you are using:"]
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> * [v1](concept-data.md)
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## Next steps
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+ Create a dataset in Azure Machine Learning studio or with the Python SDK [using these steps.](how-to-create-register-datasets.md)
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+ Try out dataset training examples with our [sample notebooks](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/work-with-data/).
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+ Try out dataset training examples with our [sample notebooks](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/work-with-data/).

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