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

Easy to use Spark Structured Streaming abstracts away complex streaming concepts such as incremental processing, checkpointing, and watermarks so that you can build streaming …

Apache Spark started as a research project at UC Berkeley in the AMPLab, which focuses on big data analytics. Our goal was to design a programming model that supports a much wider class …

If you’d like to build Spark from source, visit Building Spark. Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS), and it should run on any platform that runs a …

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 …

Nov 19, 2025 · We’re proud to announce the release of Spark 0.7.0, a new major version of Spark that adds several key features, including a Python API for Spark and an alpha of Spark …

Apache Spark started as a research project at the UC Berkeley AMPLab in 2009, and was open sourced in early 2010. Many of the ideas behind the system were presented in various …

We use Spark to regularly read raw data, convert them into Parquet, and process them to create advanced analytics dashboards: aggregation, sampling, statistics computations, anomaly …

Spark SQL includes a cost-based optimizer, columnar storage and code generation to make queries fast. At the same time, it scales to thousands of nodes and multi hour queries using …

Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure …