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We are excited to announce that you can now create OneLake shortcuts to your Google Cloud Storage (GCS) buckets. With the addition of GCS, you can now utilize cross-cloud shortcuts to analyze your data across all three major cloud platforms. Shortcuts in OneLake allow you to connect to your existing data through a single unified name space without having to copy or move data. Just open a Lakehouse in Fabric, create a shortcut to GCS, AWS S3 or ADLS Gen2 and immediately start analyzing your data through Spark, SQL and Power BI.
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Under External Sources, select Google Cloud Storage.
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Configure your connection settings.
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In the connection URL, you can specify either the global endpoint for the GCS storage service or a bucket specific endpoint.
The account associated with the HMAC key must have permission to access the data within GCS. If you provided a bucket specific URL, the account needs the following permissions:
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In this view, you can select multiple target locations to create shortcuts to.
The review page allows you to see all of the selections you made.
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Here you can use the pencil button to rename any of your selections. The trash button can be used to remove any unwanted selections. Click create and your shortcuts will appear in your lakehouse.
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Now start analyzing your data! Open the SQL endpoint and start writing new queries. Create a new Notebook and analyze your data with Spark. Open the semantic model and create a new Power BI report.
Cache enablement is configured at a workspace level. To enable shortcut caching, workspace admins can start by opening a Fabric workspace and selecting “Workspace settings”
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In the workspace settings panel, select the “OneLake” tab. Switch the toggle for “Enable Cache for Shortcuts” to “On”. Then click the “Save” button.
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Caching is now enabled for all GCS, S3 and S3 compatible shortcuts in that workspace. To learn more about shortcut caching see our blog here: Reduce egress costs with S3 shortcuts in OneLake | Microsoft Fabric Blog | Microsoft Fabric.
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