Apache Spark - Unified Analytics Engine for Big Data

Web Name: Apache Spark - Unified Analytics Engine for Big Data

WebSite: http://spark.apache.org

ID:192833

Keywords:

Unified,Analytics,Apache,

Description:

Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark is used at a wide range of organizations to process large datasets. You can find many example use cases on the Powered By page. There are many ways to reach the community: Use the mailing lists to ask questions. In-person events include numerous meetup groups and conferences. We use JIRA for issue tracking. Apache Spark is built by a wide set of developers from over 300 companies. Since 2009, more than 1200 developers have contributed to Spark! The project's committers come from more than 25 organizations. If you'd like to participate in Spark, or contribute to the libraries on top of it, learn how to contribute. Learning Apache Spark is easy whether you come from a Java, Scala, Python, R, or SQL background: Download the latest release: you can run Spark locally on your laptop. Read the quick start guide. Learn how to deploy Spark on a cluster.

TAGS:Unified Analytics Apache 

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Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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