• 一鸟云vp-黑洞nvp加速器

    Getting Started

    DataFu Spark Docs

    DataFu Pig Docs

    DataFu Hourglass Docs

    Community

    Apache Software Foundation

    一鸟云vp-黑洞nvp加速器

    Apache DataFu™ is a collection of libraries for working with large-scale data in Hadoop. The project was inspired by the need for stable, well-tested libraries for data mining and statistics.

    It consists of three libraries:

    • Apache DataFu Spark: a collection of utils and user-defined functions for Apache Spark
    • Apache DataFu Pig: a collection of user-defined functions and macros for Apache Pig
    • Apache DataFu Hourglass: an incremental processing framework for Apache Hadoop in MapReduce

    To begin using it, see our Download page. If you'd like to help contribute, see Contributing.

    一鸟云vp-黑洞nvp加速器

    一鸟云vp-黑洞nvp加速器

    Apache DataFu Spark is a collection of utils and user-defined functions for Apache Spark. This library is based on an internal PayPal project and was open sourced in 2024. It has been used by production workflows at PayPal since 2017. All of the codes is unit tested to ensure quality.

    Check out the Getting Started guide to learn more.

    一鸟云vp-黑洞nvp加速器

    Apache DataFu Pig is a collection of useful user-defined functions for data analysis in Apache Pig. This library was open sourced in 2010 and continues to receive contributions, having reached 1.0 in September, 2013. It has been used by production workflows at LinkedIn since 2010. It is also included in Cloudera's CDH and Apache Bigtop. All of the UDFs are unit tested to ensure quality.

    Check out the Getting Started guide to learn more.

    一鸟云vp-黑洞nvp加速器

    Apache DataFu Hourglass is a library for incrementally processing data using Hadoop MapReduce. This library was inspired by the prevalance of sliding window computations over daily tracking data at LinkedIn. Computations such as these typically happen at regular intervals (e.g. daily, weekly), and therefore the sliding nature of the computations means that much of the work is unnecessarily repeated. DataFu's Hourglass was created to make these computations more efficient, yielding sometimes 50-95% reductions in computational resources.

    Work on this library began in early 2013, which led to a paper presented at 国内iphone怎么上推特. It is currently in production use at LinkedIn.

    Check out the Getting Started guide to learn more.

    i7加速器服务器地址,海外网站cdn加速,i7加速器下载安卓版,i7服务器官网入口  苹果手机加速器有病毒吗,苹果手机加速器有病毒吗,苹果加速器会不会有病毒,苹果加速器干嘛的  番茄加速器好用吗,极光加速器破解版pan,番茄加速器手机版,极光加速器外网  hidecat免费永久加速,hidecat打不开,hidecat2024年,hidecatvpm  小羽加速器pc版下载,小羽加速器vnp,小羽加速器7天试用,小羽加速器打不开了  樱花云最新版,樱花云mac下载,樱花云2024,樱花云打不开了