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Apache Spark. Documentation. Setup instructions, programming guides, and other documentation are available for each stable version of Spark below: Documentation for preview releases: The documentation linked to above covers getting started with Spark, as well the built-in components MLlib , Spark Streaming, and GraphX.
Apache Spark. Apache Spark es un framework de computación (entorno de trabajo) en clúster open-source. Fue desarrollada originariamente en la Universidad de California, en el AMPLab de Berkeley. El código base del proyecto Spark fue donado más tarde a la Apache Software Foundation que se encarga de su mantenimiento desde entonces.
Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, pandas API on Spark for pandas ...
Apache Spark 官方文档中文版. Apache Spark? 是一个快速的，用于海量数据处理的通用引擎。 任何一个傻瓜都会写能够让机器理解的代码，只有好的程序员才能写出人类可以理解的代码。——Martin Fowler. 在线阅读; 在线阅读（Gitee） Github; ApacheCN 学习资源; 历史版本 ...
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-node/localhost environments, or distributed clusters. Spark’s expansive API, excellent performance, and flexibility make it a good option for many analyses.
Spark SQL is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. If you have questions about the system, ask on the Spark mailing lists. The Spark SQL developers welcome contributions. If you'd like to help out, read how to contribute to Spark, and send us a patch!
Apache Spark es un sistema de procesamiento distribuido de código abierto que se utiliza para cargas de trabajo de macrodatos. Utiliza el almacenamiento en caché de memoria y una ejecución de consulta optimizada para consultas rápidas de análisis de cualquier tamaño. Proporciona API de desarrollo en Java, Scala, Python y R, y admite la ...
