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Data Lab for Apache Spark™

Data Lab for Apache Spark™ is designed to assist data scientists and data engineers perform calculations on a remotely managed Apache Spark infrastructure.

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Getting Started

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Core concepts that give you a better understanding of Scaleway Data Lab for Apache Spark™.

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Check our guides to creating, using, and managing Data Lab for Apache Spark™s and their features.

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Changelog

  • 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™

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