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# Import your data into Azure Machine Learning designer (preview)
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In this article, you learn how to import your own data in the designer to create custom solutions. You can import data into the designer two ways:
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In this article, you learn how to import your own data in the designer to create custom solutions. There are two ways you can import data into the designer:
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***Azure Machine Learning datasets** - Register [datasets](concept-data.md#datasets) in Azure Machine Learning to enable advanced features that help you manage your data.
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***Import Data module** - Use the [Import Data](algorithm-module-reference/import-data.md) module to directly access data from online datasources.
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To learn more about the differences between datasets and datastores, see [Data access in Azure Machine Learning](concept-data.md).
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## Use Azure Machine Learning datasets
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We recommend that you use [Azure Machine Learning datasets](concept-data.md#datasets) when you import data into the designer. When you register a dataset, you can take full advantage of advanced data features like [versioning and tracking](how-to-version-track-datasets.md) and [data monitoring](how-to-monitor-datasets.md).
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### Register a dataset
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You can register existing datasets [programatically with the SDK](how-to-create-register-datasets.md#use-the-sdk) or [visually in Azure Machine Learning studio](how-to-create-register-datasets.md#use-the-ui).
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## Supported sources
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This section lists the supported data sources for the designer. You can bring data into the designer from either a datastore or from [tabular datasets](how-to-create-register-datasets.md#dataset-types).
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This section lists the designer's supported data sources. You can bring data into the designer from either a datastore or from [tabular datasets](how-to-create-register-datasets.md#dataset-types).
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### Datastore sources
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For a list of supported datastore sources, see [Access data in Azure storage services](how-to-access-data.md#supported-data-storage-service-types).
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* Boolean
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* Date
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The designer uses an internal data type to pass data between modules. You can explicitly convert your data into data table format using the [Convert to Dataset](algorithm-module-reference/convert-to-dataset.md) module.
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The designer uses an internal data type to pass data between modules. You can explicitly convert your data into data table format using the [Convert to Dataset](algorithm-module-reference/convert-to-dataset.md) module. Any module that accepts formats other than the internal format will convert the data silently before passing it to the next module.
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