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 …

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

Jan 2, 2026 · PySpark Overview # Date: Jan 02, 2026 Version: 4.1.1 Useful links: Live Notebook | GitHub | Issues | Examples | Community | Stack Overflow | Dev Mailing List | User Mailing List …

Spark SQL, DataFrames and Datasets Guide Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark …

What is Spark Declarative Pipelines (SDP)? Spark Declarative Pipelines (SDP) is a declarative framework for building reliable, maintainable, and testable data pipelines on Spark. SDP simplifies …