> ## 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 AWS 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, for example:

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

4. Confirm that results return in the results pane.

If the query succeeds, your AWS Serverless deployment is working: the cluster reached your catalog metadata and read your S3 data through the cross-account role.

## If the query fails

* A `403`-style or access error usually means the cross-account IAM role is missing an S3 or Glue permission, or its ARN isn't registered. Revisit [Configure AWS access](/platform/deploy/aws-serverless/configure-aws-access.md).
* A connection or schema error usually points to the catalog. Revisit [Connect S3 and Glue](/platform/deploy/aws-serverless/connect-s3-and-glue.md) and use **Test Connection**.
* See [Troubleshooting](/platform/deploy/aws-serverless/troubleshooting.md) for the full list.

## Next steps

* [Query editor](/query/querying/query-editor.md) - write and run queries.
* [Connect a BI tool](/query/connect/tableau.md) - query e6data from Tableau, DBeaver, and more.
* [Create and manage clusters](/query/clusters/create-and-manage.md) - size, scale, and manage compute.

## Keep going across e6data

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

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

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


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