Workload for Microsoft Fabric

Aura DB Professional

Workload for Microsoft Fabric is a Public Preview and is not intended for production use.

Overview

The public preview of the Workload for Microsoft Fabric enables developers, data scientists, and analysts to transform their OneLake data into a graph database in Aura and perform graph analytics within the Microsoft Fabric console.

Microsoft Fabric allows you to do a number of things, including, but not limited to, the following:

  • Try AuraDB Professional for free with a 14-day free trial.

  • Transform the data in a OneLake Lakehouse into a graph in AuraDB, using generative AI assistance for schema inference.

  • Query the graph in the Fabric console.

  • Explore and run graph algorithms in the Fabric console.

  • Build applications using the Neo4j .Net driver.

  • Use collaborative Notebooks in the Fabric console that run PySpark with the Neo4j Python Driver or GDS Client.

On the Aura-side, the following is required:

  • An AuraDB Professional instance.

  • Single Sign-On login with EntraID (see Microsoft Entra ID SSO for more information).

  • Tool authentication enabled for the database.

  • Generative AI assistance enabled.

The following Azure Fabric regions are supported:

  • brazilsouth

  • centralindia

  • eastus

  • francecentral

  • koreacentral

  • uksouth

  • westus3

Limitations

  • The graph is created by generative AI assistance and cannot be edited before it is imported into Aura.

  • Results of graph analytics are not returned to OneLake.

  • Graphs can only be created from a single Lakehouse.

  • Creating a new item will create a new database in Aura.

  • AuraDB Professional free trial is limited to one per organization.

Microsoft Certification

This workload has been certified by Microsoft, refer to the Microsoft Attestation Certification Checklist for details.

Configure the workload

If the workload is not available in your workspace, contact your administrator to add it. The administrator need to perform the following steps:

  1. Select Workloads in the Fabric console

  2. Select the Neo4j AuraDB workload

  3. Add the workload

  4. Either select capabilities from the list or select All capacities

  5. Add the workload

Create a graph data set

Once the workload has been enabled in your workspace, follow the steps outlined to create a graph data set:

  1. Select …​

  2. Select Neo4j Graph Dataset (preview)

  3. Provide a name for the dataset

  4. Optional: Select Start trial now to start an AuraDB Professional 14-day trial if you don’t have an Aura instance already.

  5. Select the Lakehouse you want to use

  6. Select one or more tables in the Lakehouse

  7. Finally, select Transform into graph data set to create a new AuraDB graph database within an existing project.

Keep in mind that you can only start one free trial per organization.

If the AuraDB administrator disables Generative AI assistance in Aura, then the Transform button will be greyed out. See Organization settings for more information.

Exploring data sets

Once the transformation is complete, you can explore the graph with the Explore button on the Fabric ribbon. Explore in Fabric offers the same functionality as Explore in the Aura console.

For more information Explore, see Explore.

Query data sets

You can also query the graph, once the transformation is complete, with the Query button on the Fabric ribbon. Query in Fabric works in the same way as Query in the Aura console.

For more information about Query, see Query.

Administration

Administration is available via the Aura console and not the Microsoft Fabric console. Refer to Visual tour of the console for more information about the Aura console.