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# Sharing a Lakehouse in Microsoft Fabric

**[C\# Corner](https://daily.dev/sources/csharpcorner)** · 4 min read · 0 upvotes · 0 comments

## Summary

Microsoft Fabric lets you share a Lakehouse with specific users or groups without giving them access to the whole workspace. Recipients get the shared item under 'Shared with me' or the OneLake catalog, not workspace membership. Default sharing grants read access plus SQL analytics endpoint access, with extra permissions available for Apache Spark queries, OneLake event subscriptions, and Spark job execution via the Livy endpoint. Sharing alone never grants write access. You can review and adjust access later through the Lakehouse's 'Manage permissions' screen.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.c-sharpcorner.com/article/sharing-a-lakehouse-in-microsoft-fabric>

## Questions this post answers

### How do I share a Microsoft Fabric Lakehouse without giving someone access to the whole workspace

Use Lakehouse sharing: select the Share icon next to the Lakehouse or choose Share from the ellipsis menu, enter the users or groups, review permissions, and select Grant. Recipients get access only to the shared item, found under 'Shared with me' or the OneLake catalog, and do not become workspace members.

_daily.dev surfaces practical Fabric how-tos for engineers managing data access across teams._

### What permissions can I grant when sharing a Microsoft Fabric Lakehouse

Microsoft Fabric offers Read (open the item), Read all with SQL analytics endpoint (query via T-SQL), Read all with Apache Spark (read data through Spark and OneLake APIs), SubscribeOneLakeEvents, and Execute Apache Spark (run Spark jobs via the Livy endpoint). The extra Spark permission does not replace the base Read permission, and sharing never grants write access.

_Engineers setting up team data access can track Fabric permission details alongside daily.dev's developer coverage._

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---

Tags: [#big-data](https://daily.dev/tags/big-data), [#apache-spark](https://daily.dev/tags/apache-spark), [#microsoft-fabric](https://daily.dev/tags/microsoft-fabric)

[View this post on daily.dev](https://daily.dev/posts/sharing-a-lakehouse-in-microsoft-fabric-0rsq8tmf4)

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