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title: Accessing resources with Data Lake Tools
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description: Learn how to use Azure Data Lake Tools for accessing Azure Data Lake Analytics resources.
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ms.service: data-lake-analytics
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ms.reviewer: jasonh
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ms.reviewer: whhender
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ms.topic: how-to
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ms.date: 02/09/2018
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ms.date: 01/23/2023
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---
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# Accessing resources with Azure Data Lake Tools
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Expand **U-SQL Databases**. You can create a database, schema, table, table type, index, or statistic by right-clicking the corresponding node, and then selecting **Script to Create** on the shortcut menu. On the opened script page, edit the script according to your needs. Then submit the job by right-clicking it and selecting **ADL: Submit Job**.
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After you finish creating the item, right-click the node and then select **Refresh** to show the item. You can also delete the item by right-clicking it and then selecting **Delete**.
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After you finish creating the item, right-click the node, and then select **Refresh** to show the item. You can also delete the item by right-clicking it and then selecting **Delete**.
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Data Lake Tools opens the Azure Storage path in the Azure portal. You can find the path and preview the file from the web.
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## Additional features
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## More features
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Data Lake Tools for VS Code supports the following features:
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-**IntelliSense autocomplete on Data Lake Analytics metadata**: Data Lake Tools downloads the Data Lake Analytics metadata information locally. The IntelliSense feature automatically populates objects from the Data Lake Analytics metadata. These objects include the database, schema, table, view, table-valued function, procedures, and C# assemblies.
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