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

To get started, see if the Spark Driver™ platform is available in your area. Turn on location services to allow the Spark Driver platform to determine your location.

Resources and Training Select your role to find resources to help you get started on Spark or explore training options below:

GitHub Spark is your all-in-one, AI-powered platform for building intelligent apps—no setup, no steep learning curve. Whether you're a seasoned developer or just getting started, Spark lets …

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance.

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Sign in to Spark to access your English language courses. Optional: Click the language selector menu in the upper-right corner to select your preferred language. Enter your Username and …

The documentation linked to above covers getting started with Spark, as well the built-in components MLlib, Spark Streaming, and GraphX. In addition, this page lists other resources …

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution …

Spark docker images are available from Dockerhub under the accounts of both The Apache Software Foundation and Official Images. Note that, these images contain non-ASF software …