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Use the [`from_sql_query()`](https://docs.microsoft.com/python/api/azureml-core/azureml.data.dataset_factory.tabulardatasetfactory?view=azure-ml-py#from-sql-query-query--validate-true--set-column-types-none-) method on `TabularDatasetFactory` class to read from Azure SQL Database.
To complete the creation process, register your datasets with a workspace.
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Use the [`register()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#register-workspace--name--description-none--tags-none--visible-true--exist-ok-false--update-if-exist-false-) method to register datasets to your workspace so they can be shared with others and reused across various experiments.
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Use the [`register()`](https://docs.microsoft.com/python/api/azureml-core/azureml.core.dataset.dataset?view=azure-ml-py#register-workspace--name--description-none--tags-none--visible-true--exist-ok-false--update-if-exist-false-) method to register datasets with your workspace so they can be shared with others and reused across various experiments.
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