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Merge pull request #229787 from saachigopal/patch-32
Update how-to-create-data-assets.md
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articles/machine-learning/how-to-create-data-assets.md

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@@ -67,9 +67,11 @@ When you create an Azure Machine Learning data asset, you must specify a `path`
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|A path on a public http(s) server | `https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv` |
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|A path on Azure Storage |(Blob) `wasbs://<containername>@<accountname>.blob.core.windows.net/<path_to_data>/`<br>(ADLS gen2) `abfss://<file_system>@<account_name>.dfs.core.windows.net/<path>` <br>(ADLS gen1) `adl://<accountname>.azuredatalakestore.net/<path_to_data>/` |
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> [!IMPORTANT]
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> When working with folder data, ensure that the correct path structure is used (ex. /<path_to_data>**/**) so the data source is accurately captured.
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> [!NOTE]
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> When you create a data asset from a local path, it will automatically upload to the default Azure Machine Learning cloud datastore.
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> When you create a data asset from a local path, it will automatically upload to the default Azure Machine Learning cloud datastore.
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## Create a File asset
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