> ## Documentation Index
> Fetch the complete documentation index at: https://docs.e6data.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Run first query

> Confirm your Serverless e6data deployment on Azure works by running a query against your catalog.

With a catalog connected and a cluster running, run a query to confirm the deployment works end to end.

## Run a query

1. In the Compute Plane, open the **SQL Editor**.
2. Select the cluster you created and the catalog you connected.
3. Run a simple query against a table you can see:

```sql theme={"theme":{"light":"github-light","dark":"github-dark"}}
SELECT * FROM your_catalog.your_schema.your_table LIMIT 10;
```

4. Confirm results return in the results pane.

If the query succeeds, your Azure Serverless deployment is working: the cluster reached your catalog metadata and read your ADLS Gen2 data through the Storage Credential.

## If the query fails

* An access error usually means the Managed Identity is missing the **Storage Blob Data Reader** role, or the Storage Credential isn't connected - revisit [Configure Azure access](/platform/deploy/azure-serverless/configure-azure-access).
* A connection or schema error usually points to the catalog - revisit [Connect ADLS and a catalog](/platform/deploy/azure-serverless/connect-adls-and-catalog) and use **Test Connection**.
* See [Troubleshooting](/platform/deploy/azure-serverless/troubleshooting) for the full list.

## Next steps

* [Query editor](/query/querying/query-editor)
* [Connect a BI tool](/query/connect/tableau)
* [Create and manage clusters](/query/clusters/create-and-manage)

## Keep going across e6data

<Columns cols={3}>
  <Card title="Connect your tools" icon="plug" href="/query/connect">
    Python, JDBC, PostgreSQL protocol, Tableau, Power BI and notebooks.
  </Card>

  <Card title="Control who sees what" icon="shield-check" href="/query/governance">
    Catalog access control, column masking and row filters.
  </Card>

  <Card title="Add live data" icon="arrow-down-to-line" href="/ingest">
    Stream Kafka, CDC and HTTP data into Iceberg tables with Ingest Engine.
  </Card>
</Columns>


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