---
title: How to access and use the notebook of an Apache Spark™ cluster
description: Step-by-step guide to access and use the notebook environment in an Apache Spark™ cluster on Scaleway.
tags: data lab cluster apache spark notebook environment jupyterlab
dates:
  validation: 2026-03-27
  posted: 2025-12-04
---

import Requirements from '@macros/iam/requirements.mdx'

This page explains how to access and use the notebook environment of your Apache Spark™ cluster using the Scaleway console.

You can also use your Apache Spark™ cluster using a separate notebook (JupyterLab, Zeppelin, etc.) running on a Scaleway Instance within the same Private Network as your cluster. Refer to the [dedicated documentation](/apache-spark/how-to/use-private-networks/) for more information.

<Requirements />

- A Scaleway account logged into the [console](https://console.scaleway.com)
- [Owner](/iam/concepts/#owner) status or [IAM permissions](/iam/concepts/#permission) allowing you to perform actions in the intended Organization
- Created an [Apache Spark™ cluster](/apache-spark/how-to/create-spark-cluster/) with a notebook
- Created an [IAM API key](/iam/how-to/create-api-keys/)

## How to access the notebook of your cluster

1. Click **Apache Spark™** under **Data & Analytics** on the side menu. The **Clusters for Apache Spark™** page displays.

2. Click the name of the desired cluster. The **Overview** tab of the cluster displays.

3. Click the **Open notebook** button. A login page displays.

4. Enter the **secret key** of your API key, then click **Log in**. The notebook dashboard displays.

You are now connected to your notebook environment.