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Apache Spark is a scalable and versatile engine for data engineering, data science, and machine learning. It supports batch/streaming data, SQL analytics, data science at scale, and machine learning with Python, SQL, Scala, Java or R.
- Examples
Apache Spark ™ examples. This page shows you how to use...
- Download
Spark Docker Container images are available from DockerHub,...
- Graphx
GraphX is developed as part of the Apache Spark project. It...
- FAQ
Spark Streaming provides a high-level abstraction called...
- Documentation
Apache Spark is a unified analytics engine for large-scale...
- Apache Software Foundation
Incubating Project s ¶. The Apache Incubator is the primary...
- Spark Streaming
Spark Structured Streaming provides the same structured APIs...
- MLlib (machine learning)
Performance. High-quality algorithms, 100x faster than...
- Third-Party Projects
This page tracks external software projects that supplement...
- Quick Start Guide
This tutorial provides a quick introduction to using Spark....
- Examples
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.
Apache Spark is a lightning-fast, open-source data-processing engine for machine learning and AI applications, backed by the largest open-source community in big data. Apache Spark (Spark) easily handles large-scale data sets and is a fast, general-purpose clustering system that is well-suited for PySpark.
Apache Spark is a fast and versatile open source framework for big data and machine learning. Learn about its features, benefits, and how to try it on the Databricks cloud platform.
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