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

Spark Connect is a new client-server architecture introduced in Spark 3.4 that decouples Spark client applications and allows remote connectivity to Spark clusters.

Download Spark: spark-4.1.1-bin-hadoop3.tgz Verify this release using the 4.1.1 signatures, checksums and project release KEYS by following these procedures. Note that Spark 4 is pre-built with Scala …

Hands-On Exercises Hands-on exercises from Spark Summit 2014. These let you install Spark on your laptop and learn basic concepts, Spark SQL, Spark Streaming, GraphX and MLlib. Hands-on …

Quick Start Interactive Analysis with the Spark Shell Basics More on Dataset Operations Caching Self-Contained Applications Where to Go from Here This tutorial provides a quick introduction to using …

Apache Spark ™ examples This page shows you how to use different Apache Spark APIs with simple examples. Spark is a great engine for small and large datasets. It can be used with single …

Dec 11, 2025 · PySpark Overview # Date: Dec 11, 2025 Version: 4.1.0 Useful links: Live Notebook | GitHub | Issues | Examples | Community | Stack Overflow | Dev Mailing List | User Mailing List …

Spark Release 4.0.0 Apache Spark 4.0.0 marks a significant milestone as the inaugural release in the 4.x series, embodying the collective effort of the vibrant open-source community. This release is a …

Spark SQL is Spark's module for working with structured data, either within Spark programs or through standard JDBC and ODBC connectors.

Spark Connect makes remote Spark development easier. When df.Show() is invoked, spark-connect-go processes the query into an unresolved logical plan and sends it to the Spark Driver for execution. …