Quickstart
Learn how to create, use, manage, and delete an Apache Spark™ cluster in a few steps.
View QuickstartClusters for Apache Spark™
Clusters for Apache Spark™ is designed to assist data scientists and data engineers perform calculations on a remotely managed Apache Spark infrastructure.
Clusters for Apache Spark™ QuickstartGetting Started
Concepts
Core concepts that give you a better understanding of Scaleway Clusters for Apache Spark™.
View ConceptsHow-tos
Check our guides to creating, using, and managing Apache Spark™ clusters and their features.
View How-tosChangelog
Scaleway
Scaleway is opening a new region: Milan, Italy. You can now deploy Instances, Kapsule, Block Storage, Object Storage, VPC, Databases, KMS, Audit Trail, and more in MIL-1. Check our availability page to get the entire list of available products and see which ones are coming soon.
Data Lab for Apache Spark™
What’s new in v.2?
- Connect your favorite tools, like Airflow, directly to your Apache Spark™ cluster and submit jobs effortlessly.
- Connect your Spark™ clusters to any compatible data source.
- Install custom or classic libraries (such as SparkSQL) and explore your data visually with graphs in JupyterLab.
- Easy Machine Learning with TensorFlow and MLlib.
- Monitor and analyze cluster and job performance with the Apache Spark™ UI.
- Your Spark™ cluster is now securely accessible via Private Networks.
Data Lab for Apache Spark™
Explore your Data Lab's metrics and logs, thanks to its integration with Scaleway Cockpit.
Questions?
Visit our Help Center and find the answers to your most frequent questions.
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