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Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. It provides ...

This project gives you an Apache Spark cluster in standalone mode with a JupyterLab interface built on top of Docker. Learn Apache Spark through its Scala, ...

Building and running your Spark application on top of the Spark cluster is as simple as extending a template Docker image. Check the template's README for ...

Because Apache Spark doesn't provide a Docker image with Scala 2.13 support, we created this Docker image to easily run Apache Spark with Scala 2.13. Features.

A debian:stretch based Spark container. Use it in a standalone cluster with the accompanying docker-compose.yml , or as a base for more complex recipes. docker ...

Apache Spark Docker images built from the official Spark distribution, with automatic dependency bumps and a small set of runtime jars baked in. Why this ...