> ## 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](https://docs.e6data.com/platform/deploy/azure-serverless/configure-azure-access.md).
* A connection or schema error usually points to the catalog - revisit [Connect ADLS and a catalog](https://docs.e6data.com/platform/deploy/azure-serverless/connect-adls-and-catalog.md) and use **Test Connection**.
* See [Troubleshooting](https://docs.e6data.com/platform/deploy/azure-serverless/troubleshooting.md) for the full list.

## Next steps

* [Query editor](https://docs.e6data.com/query/querying/query-editor.md)
* [Connect a BI tool](https://docs.e6data.com/query/connect/tableau.md)
* [Create and manage clusters](https://docs.e6data.com/query/clusters/create-and-manage.md)

## Keep going across e6data

> **[Connect your tools](https://docs.e6data.com/query/connect.md)**
>
> Python, JDBC, PostgreSQL protocol, Tableau, Power BI and notebooks.

> **[Control who sees what](https://docs.e6data.com/query/governance.md)**
>
> Catalog access control, column masking and row filters.

> **[Add live data](https://docs.e6data.com/ingest.md)**
>
> Stream Kafka, CDC and HTTP data into Iceberg tables with Ingest Engine.


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