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

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@@ -47,7 +47,7 @@ To use the data in your cloud-based storage solution, we recommend this data del
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This screenshot shows the recommended workflow:
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:::image type="content" source="./media/concept-data/data-concept-diagram.png" lightbox="./media/concept-data/data-concept-diagram.png" alt-text="Screenshot showing the Azure Storage Service, which flows into a datastore and then into a dataset":::
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:::image type="content" source="./media/concept-data/data-concept-diagram.png" lightbox="./media/concept-data/data-concept-diagram.png" alt-text="Screenshot showing the Azure Storage Service, which flows into a datastore and then into a dataset.":::
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## Connect to storage with datastores
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## Next steps
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- [Create a dataset in Azure Machine Learning studio or with the Python SDK](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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