. . . . . . "5919308"^^ . . . . . . . . . "Hadoop logo new.svg"@en . . "\u0623\u0628\u0627\u062A\u0634\u064A \u0647\u0627\u062F\u0648\u0628 (\u0628\u0627\u0644\u0625\u0646\u062C\u0644\u064A\u0632\u064A\u0629: Apache Hadoop)\u200F \u0647\u0648 \u0628\u0631\u0646\u0627\u0645\u062C \u0623\u0648 \u0645\u0646\u0635\u0629 \u0628\u0631\u0645\u062C\u064A\u0629 \u0645\u0641\u062A\u0648\u062D\u0629 \u0627\u0644\u0645\u0635\u062F\u0631 \u0645\u0643\u062A\u0648\u0628\u0629 \u0628\u0644\u063A\u0629 \u0627\u0644\u062C\u0627\u0641\u0627 \u0644\u062A\u062E\u0632\u064A\u0646 \u0648\u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0636\u062E\u0645\u0629 \u0628\u0634\u0643\u0644 \u0645\u0648\u0632\u0639 \u0645\u062B\u0644 \u062A\u062E\u0632\u064A\u0646 \u0628\u064A\u0627\u0646\u0627\u062A \u0636\u062E\u0645\u0629 \u0639\u0644\u0649 \u0639\u062F\u0629 \u0623\u062C\u0647\u0632\u0629 \u0648\u0645\u0646 \u062B\u0645 \u062A\u0648\u0632\u064A\u0639 \u0639\u0645\u0644\u064A\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629 \u0639\u0644\u0649 \u0647\u0630\u0647 \u0627\u0644\u0623\u062C\u0647\u0632\u0629 \u0644\u062A\u0633\u0631\u064A\u0639 \u0646\u062A\u064A\u062C\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629. \u064A\u062A\u0643\u0648\u0646 \u0642\u0644\u0628 Apache Hadoop \u0645\u0646 \u062C\u0632\u0621 \u062A\u062E\u0632\u064A\u0646\u064A \u064A\u064F\u0639\u0631\u0641 \u0628\u0627\u0633\u0645 (Hadoop Distributed File System (HDFS \u060C \u0648\u062C\u0632\u0621 \u0645\u0639\u0627\u0644\u062C\u0629 \u0648\u0647\u0648 \u0646\u0645\u0648\u0630\u062C \u0628\u0631\u0645\u062C\u0629 MapReduce. \u064A\u0642\u0648\u0645 Hadoop \u0628\u062A\u0642\u0633\u064A\u0645 \u0627\u0644\u0645\u0644\u0641\u0627\u062A \u0625\u0644\u0649 \u0643\u062A\u0644 \u0643\u0628\u064A\u0631\u0629 \u0648\u062A\u0648\u0632\u064A\u0639\u0647\u0627 \u0639\u0628\u0631 \u0627\u0644\u0639\u0642\u062F Nodes \u0641\u064A Cluster. \u0648\u0627\u0644\u062A\u064A \u0628\u062F\u0648\u0631\u0647\u0627 \u062A\u0646\u0642\u0644 \u0627\u0644\u0634\u0641\u0631\u0629 \u0627\u0644\u0645\u0639\u0628\u0623\u0629 \u0625\u0644\u0649 Nodes \u0644\u0643\u064A \u062A\u062A\u0645 \u0645\u0639\u0627\u0644\u062C\u0629 \u062A\u0644\u0643 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0628\u0627\u0644\u062A\u0648\u0627\u0632\u064A. \u064A\u062A\u0643\u0648\u0646 \u0625\u0637\u0627\u0631 Apache Hadoop \u0627\u0644\u0623\u0633\u0627\u0633\u064A \u0645\u0646 \u0627\u0644\u0648\u062D\u062F\u0627\u062A \u0627\u0644\u062A\u0627\u0644\u064A\u0629:"@ar . . . "\uC544\uD30C\uCE58 \uD558\uB461"@ko . . . . . "Apatxe Hadoop \u00E9s un entorn de treball per a programari, baix llic\u00E8ncia lliure, per a programar aplicacions distribu\u00EFdes que manegin grans volums de dades (big data). Permet a les aplicacions treballar amb milers de nodes en xarxa i petabytes de dades. Hadoop es va inspirar en els documents de Google sobre MapReduce i Google File System (GFS)."@ca . . . . . . . . "2006-04-01"^^ . . . . . . . . . . . . . "Apache Hadoop\u662F\u4E00\u6B3E\u652F\u6301\u6578\u64DA\u5BC6\u96C6\u578B\u5206\u4F48\u5F0F\u61C9\u7528\u7A0B\u5E8F\u5E76\u4EE5Apache 2.0\u8A31\u53EF\u5354\u8B70\u767C\u4F48\u7684\u958B\u6E90\u8EDF\u9AD4\u6846\u67B6\uFF0C\u6709\u52A9\u4E8E\u4F7F\u7528\u8BB8\u591A\u8BA1\u7B97\u673A\u7EC4\u6210\u7684\u7F51\u7EDC\u6765\u89E3\u51B3\u6570\u636E\u3001\u8BA1\u7B97\u5BC6\u96C6\u578B\u7684\u95EE\u9898\u3002\u57FA\u4E8EMapReduce\u8BA1\u7B97\u6A21\u578B\uFF0C\u5B83\u4E3A\u5927\u6570\u636E\u7684\u5206\u5E03\u5F0F\u5B58\u50A8\u4E0E\u5904\u7406\u63D0\u4F9B\u4E86\u4E00\u4E2A\u8F6F\u4EF6\u6846\u67B6\u3002\u6240\u6709\u7684Hadoop\u6A21\u5757\u90FD\u6709\u4E00\u4E2A\u57FA\u672C\u5047\u8BBE\uFF0C\u5373\u786C\u4EF6\u6545\u969C\u662F\u5E38\u89C1\u60C5\u51B5\uFF0C\u5E94\u8BE5\u7531\u6846\u67B6\u81EA\u52A8\u5904\u7406\u3002 Apache Hadoop\u7684\u6838\u5FC3\u6A21\u5757\u5206\u4E3A\u5B58\u50A8\u548C\u8BA1\u7B97\u6A21\u5757\uFF0C\u524D\u8005\u88AB\u79F0\u4E3AHadoop\u5206\u5E03\u5F0F\u6587\u4EF6\u7CFB\u7EDF\uFF08HDFS\uFF09\uFF0C\u540E\u8005\u5373MapReduce\u8BA1\u7B97\u6A21\u578B\u3002Hadoop\u6846\u67B6\u5148\u5C06\u6587\u4EF6\u5206\u6210\u6570\u636E\u5757\u5E76\u5206\u5E03\u5F0F\u5730\u5B58\u50A8\u5728\u96C6\u7FA4\u7684\u8BA1\u7B97\u8282\u70B9\u4E2D\uFF0C\u63A5\u7740\u5C06\u8D1F\u8D23\u8BA1\u7B97\u4EFB\u52A1\u7684\u4EE3\u7801\u4F20\u9001\u7ED9\u5404\u8282\u70B9\uFF0C\u8BA9\u5176\u80FD\u591F\u5E76\u884C\u5730\u5904\u7406\u6570\u636E\u3002\u8FD9\u79CD\u65B9\u6CD5\u6709\u6548\u5229\u7528\u4E86\u6570\u636E\u5C40\u90E8\u6027\uFF0C\u4EE4\u5404\u8282\u70B9\u5206\u522B\u5904\u7406\u5176\u80FD\u591F\u8BBF\u95EE\u7684\u6570\u636E\u3002\u4E0E\u4F20\u7EDF\u7684\u8D85\u7EA7\u8BA1\u7B97\u673A\u67B6\u6784\u76F8\u6BD4\uFF0C\u8FD9\u4F7F\u5F97\u6570\u636E\u96C6\u7684\u5904\u7406\u901F\u5EA6\u66F4\u5FEB\u3001\u6548\u7387\u66F4\u9AD8\u3002 Apache Hadoop\u6846\u67B6\u7531\u4EE5\u4E0B\u57FA\u672C\u6A21\u5757\u6784\u6210\uFF1A Hadoop \u4E00\u8BCD\u901A\u5E38\u4EE3\u6307\u5176\u57FA\u672C\u6A21\u5757\u548C\u5B50\u6A21\u5757\u4EE5\u53CA\u751F\u6001\u7CFB\u7EDF\uFF0C\u6216\u53EF\u4EE5\u5B89\u88C5\u5728 Hadoop \u4E4B\u4E0A\u7684\u8F6F\u4EF6\u5305\u7684\u96C6\u5408\uFF0C\u4F8B\u5982Apache Pig\u3001Apache Hive\u3001Apache HBase\u3001\u3001Apache Spark\u3001Apache ZooKeeper\u3001\u3001\u3001Apache Sqoop\u3001\u548CApache Storm\u3002"@zh . . "Apache Hadoop is een open source softwareframework voor en verwerking van grote hoeveelheden data met behulp van het MapReduce paradigma. Hadoop is als platform een drijvende kracht achter de populariteit van big data. Het draait op een cluster van computers dat bestaat uit . In het ontwerp van de Hadoop-softwarecomponenten is rekening gehouden met uitval van systemen in een cluster, door o.a. data te repliceren en te verspreiden over meerdere computers/opslagmedia."@nl . "Apache Hadoop"@de . . . "Hadoop \u00E9 uma plataforma de software em Java de computa\u00E7\u00E3o distribu\u00EDda voltada para clusters e processamento de grandes volumes de dados, com aten\u00E7\u00E3o a toler\u00E2ncia a falhas. Foi inspirada no MapReduce e no GoogleFS (GFS). Trata-se de um projeto da Apache de alto n\u00EDvel, constru\u00EDdo por uma comunidade de contribuidores e utilizando a linguagem de programa\u00E7\u00E3o Java. O Yahoo! tem sido o maior contribuidor do projeto, utilizando essa plataforma intensivamente em seus neg\u00F3cios. \u00C9 disponibilizado pela Amazon e IBM em suas plataformas."@pt . . "Hadoop \u00E9 uma plataforma de software em Java de computa\u00E7\u00E3o distribu\u00EDda voltada para clusters e processamento de grandes volumes de dados, com aten\u00E7\u00E3o a toler\u00E2ncia a falhas. Foi inspirada no MapReduce e no GoogleFS (GFS). Trata-se de um projeto da Apache de alto n\u00EDvel, constru\u00EDdo por uma comunidade de contribuidores e utilizando a linguagem de programa\u00E7\u00E3o Java. O Yahoo! tem sido o maior contribuidor do projeto, utilizando essa plataforma intensivamente em seus neg\u00F3cios. \u00C9 disponibilizado pela Amazon e IBM em suas plataformas."@pt . . . . . . . "Apache Hadoop"@ja . . . . . . . . . . . . . . . . . . . "\u0623\u0628\u0627\u062A\u0634\u064A \u0647\u0627\u062F\u0648\u0628 (\u0628\u0627\u0644\u0625\u0646\u062C\u0644\u064A\u0632\u064A\u0629: Apache Hadoop)\u200F \u0647\u0648 \u0628\u0631\u0646\u0627\u0645\u062C \u0623\u0648 \u0645\u0646\u0635\u0629 \u0628\u0631\u0645\u062C\u064A\u0629 \u0645\u0641\u062A\u0648\u062D\u0629 \u0627\u0644\u0645\u0635\u062F\u0631 \u0645\u0643\u062A\u0648\u0628\u0629 \u0628\u0644\u063A\u0629 \u0627\u0644\u062C\u0627\u0641\u0627 \u0644\u062A\u062E\u0632\u064A\u0646 \u0648\u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0636\u062E\u0645\u0629 \u0628\u0634\u0643\u0644 \u0645\u0648\u0632\u0639 \u0645\u062B\u0644 \u062A\u062E\u0632\u064A\u0646 \u0628\u064A\u0627\u0646\u0627\u062A \u0636\u062E\u0645\u0629 \u0639\u0644\u0649 \u0639\u062F\u0629 \u0623\u062C\u0647\u0632\u0629 \u0648\u0645\u0646 \u062B\u0645 \u062A\u0648\u0632\u064A\u0639 \u0639\u0645\u0644\u064A\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629 \u0639\u0644\u0649 \u0647\u0630\u0647 \u0627\u0644\u0623\u062C\u0647\u0632\u0629 \u0644\u062A\u0633\u0631\u064A\u0639 \u0646\u062A\u064A\u062C\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062C\u0629. \u0648\u0647\u064A \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u0645\u062C\u0645\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0623\u062F\u0648\u0627\u062A \u0627\u0644\u0628\u0631\u0645\u062C\u064A\u0629 \u0645\u0641\u062A\u0648\u062D\u0629 \u0627\u0644\u0645\u0635\u062F\u0631 \u0648\u0627\u0644\u062A\u064A \u062A\u0633\u0647\u0644 \u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0634\u0628\u0643\u0629 \u0645\u0646 \u0623\u062C\u0647\u0632\u0629 \u0627\u0644\u0643\u0645\u0628\u064A\u0648\u062A\u0631 \u0644\u062D\u0644 \u0627\u0644\u0645\u0634\u0627\u0643\u0644 \u0627\u0644\u062A\u064A \u062A\u062A\u0636\u0645\u0646 \u0643\u0645\u064A\u0627\u062A \u0647\u0627\u0626\u0644\u0629 \u0645\u0646 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A. \u0648\u0643\u0645\u0627 \u062A\u0648\u0641\u0631 \u0625\u0637\u0627\u0631 \u0639\u0645\u0644 \u0628\u0631\u0645\u062C\u064A framework \u0644\u0644\u062A\u062E\u0632\u064A\u0646 \u0627\u0644\u0645\u0648\u0632\u0639 \u0648\u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0627\u0644\u0636\u062E\u0645\u0629 \u0628\u0627\u0633\u062A\u062E\u062F\u0627\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062C \u0627\u0644\u0628\u0631\u0645\u062C\u064A MapReduce. \u062A\u0645 \u062A\u0635\u0645\u064A\u0645 \u062C\u0645\u064A\u0639 \u0627\u0644\u0648\u062D\u062F\u0627\u062A \u0641\u064A Hadoop \u0628\u0627\u0641\u062A\u0631\u0627\u0636 \u0623\u0633\u0627\u0633\u064A \u0623\u0646 \u062A\u0639\u0637\u0644 \u0627\u0644\u0623\u062C\u0647\u0632\u0629 \u0623\u0645\u0631 \u0634\u0627\u0626\u0639 \u0648\u064A\u062C\u0628 \u0645\u0639\u0627\u0644\u062C\u062A\u0647 \u062A\u0644\u0642\u0627\u0626\u064A\u064B\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0625\u0637\u0627\u0631 \u0627\u0644\u0639\u0645\u0644. \u064A\u062A\u0643\u0648\u0646 \u0642\u0644\u0628 Apache Hadoop \u0645\u0646 \u062C\u0632\u0621 \u062A\u062E\u0632\u064A\u0646\u064A \u064A\u064F\u0639\u0631\u0641 \u0628\u0627\u0633\u0645 (Hadoop Distributed File System (HDFS \u060C \u0648\u062C\u0632\u0621 \u0645\u0639\u0627\u0644\u062C\u0629 \u0648\u0647\u0648 \u0646\u0645\u0648\u0630\u062C \u0628\u0631\u0645\u062C\u0629 MapReduce. \u064A\u0642\u0648\u0645 Hadoop \u0628\u062A\u0642\u0633\u064A\u0645 \u0627\u0644\u0645\u0644\u0641\u0627\u062A \u0625\u0644\u0649 \u0643\u062A\u0644 \u0643\u0628\u064A\u0631\u0629 \u0648\u062A\u0648\u0632\u064A\u0639\u0647\u0627 \u0639\u0628\u0631 \u0627\u0644\u0639\u0642\u062F Nodes \u0641\u064A Cluster. \u0648\u0627\u0644\u062A\u064A \u0628\u062F\u0648\u0631\u0647\u0627 \u062A\u0646\u0642\u0644 \u0627\u0644\u0634\u0641\u0631\u0629 \u0627\u0644\u0645\u0639\u0628\u0623\u0629 \u0625\u0644\u0649 Nodes \u0644\u0643\u064A \u062A\u062A\u0645 \u0645\u0639\u0627\u0644\u062C\u0629 \u062A\u0644\u0643 \u0627\u0644\u0628\u064A\u0627\u0646\u0627\u062A \u0628\u0627\u0644\u062A\u0648\u0627\u0632\u064A. \u064A\u062A\u0643\u0648\u0646 \u0625\u0637\u0627\u0631 Apache Hadoop \u0627\u0644\u0623\u0633\u0627\u0633\u064A \u0645\u0646 \u0627\u0644\u0648\u062D\u062F\u0627\u062A \u0627\u0644\u062A\u0627\u0644\u064A\u0629: 1. \n* Hadoop Common - \u064A\u062D\u062A\u0648\u064A \u0639\u0644\u0649 \u0645\u0643\u062A\u0628\u0627\u062A \u0648\u0623\u062F\u0648\u0627\u062A \u0645\u0633\u0627\u0639\u062F\u0629 \u062A\u062D\u062A\u0627\u062C\u0647\u0627 \u0648\u062D\u062F\u0627\u062A Hadoop \u0627\u0644\u0623\u062E\u0631\u0649 2. \n* (Hadoop Distributed File System (HDFS - 3. \n* Hadoop YARN 4. \n* Hadoop MapReduce"@ar . . "Apache Hadoop es un entorno de trabajo para software, bajo licencia libre, para programar aplicaciones distribuidas que manejen grandes vol\u00FAmenes de datos (big data).\u200B Permite a las aplicaciones trabajar con miles de nodos en red y petabytes de datos. Hadoop se inspir\u00F3 en los documentos de Google sobre MapReduce y Google File System (GFS). Hadoop es un proyecto de la organizaci\u00F3n Apache que est\u00E1 siendo construido y usado por una comunidad global de contribuyentes,\u200B mediante el lenguaje de programaci\u00F3n Java. Yahoo! ha sido el mayor contribuyente al proyecto,\u200B y usa Hadoop extensivamente en su negocio.\u200B"@es . "Apache Hadoop"@it . . . . . . "Apache Hadoop ( /h\u0259\u02C8du\u02D0p/) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It has since also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework."@en . . "Hadoop je framework obsahuj\u00EDc\u00ED sadu opensource softwarov\u00FDch komponent ur\u010Den\u00FDch pro zpracov\u00E1n\u00ED velk\u00E9ho mno\u017Estv\u00ED nestrukturovan\u00FDch a distribuovan\u00FDch dat v \u0159\u00E1dech petabyt\u016F a exabyt\u016F."@cs . . . "Hadoop"@ru . "Apache Hadoop\u306F\u5927\u898F\u6A21\u30C7\u30FC\u30BF\u306E\u5206\u6563\u51E6\u7406\u3092\u652F\u3048\u308B\u30AA\u30FC\u30D7\u30F3\u30BD\u30FC\u30B9\u306E\u30BD\u30D5\u30C8\u30A6\u30A7\u30A2\u30D5\u30EC\u30FC\u30E0\u30EF\u30FC\u30AF\u3067\u3042\u308A\u3001Java\u3067\u66F8\u304B\u308C\u3066\u3044\u308B\u3002Hadoop\u306F\u30A2\u30D7\u30EA\u30B1\u30FC\u30B7\u30E7\u30F3\u304C\u6570\u5343\u30CE\u30FC\u30C9\u304A\u3088\u3073\u30DA\u30BF\u30D0\u30A4\u30C8\u7D1A\u306E\u30C7\u30FC\u30BF\u3092\u51E6\u7406\u3059\u308B\u3053\u3068\u3092\u53EF\u80FD\u3068\u3057\u3066\u3044\u308B\u3002Hadoop\u306FGoogle\u306EMapReduce\u304A\u3088\u3073Google File System(GFS)\u8AD6\u6587\u306B\u89E6\u767A\u3055\u308C\u305F\u3082\u306E\u3067\u3042\u308B\u3002 Hadoop\u306FApache\u306E\u30C8\u30C3\u30D7\u30EC\u30D9\u30EB\u30D7\u30ED\u30B8\u30A7\u30AF\u30C8\u306E1\u3064\u3067\u3042\u308A\u3001\u4E16\u754C\u898F\u6A21\u306E\u958B\u767A\u8CA2\u732E\u8005\u30B3\u30DF\u30E5\u30CB\u30C6\u30A3\u306B\u3088\u3063\u3066\u958B\u767A\u3055\u308C\u3001\u4F7F\u7528\u3055\u308C\u3066\u3044\u308B\u3002"@ja . "\uC544\uD30C\uCE58 \uD558\uB461(Apache Hadoop, High-Availability Distributed Object-Oriented Platform)\uC740 \uB300\uB7C9\uC758 \uC790\uB8CC\uB97C \uCC98\uB9AC\uD560 \uC218 \uC788\uB294 \uD070 \uCEF4\uD4E8\uD130 \uD074\uB7EC\uC2A4\uD130\uC5D0\uC11C \uB3D9\uC791\uD558\uB294 \uBD84\uC0B0 \uC751\uC6A9 \uD504\uB85C\uADF8\uB7A8\uC744 \uC9C0\uC6D0\uD558\uB294 \uD504\uB9AC\uC6E8\uC5B4 \uC790\uBC14 \uC18C\uD504\uD2B8\uC6E8\uC5B4 \uD504\uB808\uC784\uC6CC\uD06C\uC774\uB2E4. \uC6D0\uB798 \uB108\uCE58\uC758 \uBD84\uC0B0 \uCC98\uB9AC\uB97C \uC9C0\uC6D0\uD558\uAE30 \uC704\uD574 \uAC1C\uBC1C\uB41C \uAC83\uC73C\uB85C, \uC544\uD30C\uCE58 \uB8E8\uC52C\uC758 \uD558\uBD80 \uD504\uB85C\uC81D\uD2B8\uC774\uB2E4. \uBD84\uC0B0\uCC98\uB9AC \uC2DC\uC2A4\uD15C\uC778 \uAD6C\uAE00 \uD30C\uC77C \uC2DC\uC2A4\uD15C\uC744 \uB300\uCCB4\uD560 \uC218 \uC788\uB294 \uD558\uB461 \uBD84\uC0B0 \uD30C\uC77C \uC2DC\uC2A4\uD15C(HDFS: Hadoop Distributed File System)\uACFC \uB9F5\uB9AC\uB4C0\uC2A4\uB97C \uAD6C\uD604\uD55C \uAC83\uC774\uB2E4.. \uBCA0\uC774\uC2A4 \uC544\uD30C\uCE58 \uD558\uB461 \uD504\uB808\uC784\uC6CC\uD06C\uB294 \uB2E4\uC74C\uC758 \uBAA8\uB4C8\uC744 \uD3EC\uD568\uD558\uACE0 \uC788\uB2E4 \n* \uD558\uB461 \uCEE4\uBA3C(Hadoop Common) \n* \uD558\uB461 \uBD84\uC0B0 \uD30C\uC77C \uC2DC\uC2A4\uD15C(HDFS) \n* \uD558\uB461 YARN \n* \uD558\uB461 \uB9F5\uB9AC\uB4C0\uC2A4"@ko . "2006-04-01"^^ . "Apache Hadoop \u00E8 un framework sotto una licenza libera che supporta applicazioni distribuite con elevato accesso ai dati, permettendo alle applicazioni di lavorare con migliaia di nodi e petabyte di dati. Ispirato dalla MapReduce di Google e dal Google File System, \u00E8 un progetto della fondazione Apache di alto livello costruito e usato da una comunit\u00E0 globale di contributori, che usano i linguaggi di programmazione Java e Scala."@it . . "Hadoop \u2014 \u043F\u0440\u043E\u0435\u043A\u0442 \u0444\u043E\u043D\u0434\u0430 Apache Software Foundation, \u0441\u0432\u043E\u0431\u043E\u0434\u043D\u043E \u0440\u0430\u0441\u043F\u0440\u043E\u0441\u0442\u0440\u0430\u043D\u044F\u0435\u043C\u044B\u0439 \u043D\u0430\u0431\u043E\u0440 \u0443\u0442\u0438\u043B\u0438\u0442, \u0431\u0438\u0431\u043B\u0438\u043E\u0442\u0435\u043A \u0438 \u0444\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A \u0434\u043B\u044F \u0440\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0438 \u0432\u044B\u043F\u043E\u043B\u043D\u0435\u043D\u0438\u044F \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0451\u043D\u043D\u044B\u0445 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C, \u0440\u0430\u0431\u043E\u0442\u0430\u044E\u0449\u0438\u0445 \u043D\u0430 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430\u0445 \u0438\u0437 \u0441\u043E\u0442\u0435\u043D \u0438 \u0442\u044B\u0441\u044F\u0447 \u0443\u0437\u043B\u043E\u0432. \u0418\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0435\u0442\u0441\u044F \u0434\u043B\u044F \u0440\u0435\u0430\u043B\u0438\u0437\u0430\u0446\u0438\u0438 \u043F\u043E\u0438\u0441\u043A\u043E\u0432\u044B\u0445 \u0438 \u043A\u043E\u043D\u0442\u0435\u043A\u0441\u0442\u043D\u044B\u0445 \u043C\u0435\u0445\u0430\u043D\u0438\u0437\u043C\u043E\u0432 \u043C\u043D\u043E\u0433\u0438\u0445 \u0432\u044B\u0441\u043E\u043A\u043E\u043D\u0430\u0433\u0440\u0443\u0436\u0435\u043D\u043D\u044B\u0445 \u0432\u0435\u0431-\u0441\u0430\u0439\u0442\u043E\u0432, \u0432 \u0442\u043E\u043C \u0447\u0438\u0441\u043B\u0435, \u0434\u043B\u044F Yahoo! \u0438 Facebook. \u0420\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u0430\u043D \u043D\u0430 Java \u0432 \u0440\u0430\u043C\u043A\u0430\u0445 \u0432\u044B\u0447\u0438\u0441\u043B\u0438\u0442\u0435\u043B\u044C\u043D\u043E\u0439 \u043F\u0430\u0440\u0430\u0434\u0438\u0433\u043C\u044B MapReduce, \u0441\u043E\u0433\u043B\u0430\u0441\u043D\u043E \u043A\u043E\u0442\u043E\u0440\u043E\u0439 \u043F\u0440\u0438\u043B\u043E\u0436\u0435\u043D\u0438\u0435 \u0440\u0430\u0437\u0434\u0435\u043B\u044F\u0435\u0442\u0441\u044F \u043D\u0430 \u0431\u043E\u043B\u044C\u0448\u043E\u0435 \u043A\u043E\u043B\u0438\u0447\u0435\u0441\u0442\u0432\u043E \u043E\u0434\u0438\u043D\u0430\u043A\u043E\u0432\u044B\u0445 \u044D\u043B\u0435\u043C\u0435\u043D\u0442\u0430\u0440\u043D\u044B\u0445 \u0437\u0430\u0434\u0430\u043D\u0438\u0439, \u0432\u044B\u043F\u043E\u043B\u043D\u0438\u043C\u044B\u0445 \u043D\u0430 \u0443\u0437\u043B\u0430\u0445 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430 \u0438 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C \u0441\u0432\u043E\u0434\u0438\u043C\u044B\u0445 \u0432 \u043A\u043E\u043D\u0435\u0447\u043D\u044B\u0439 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442."@ru . . "Apache Hadoop"@pl . . . . . "Apache Hadoop"@cs . . "Apache Hadoop ist ein freies, in Java geschriebenes Framework f\u00FCr skalierbare, verteilt arbeitende Software. Es basiert auf dem MapReduce-Algorithmus von Google Inc. sowie auf Vorschl\u00E4gen des Google-Dateisystems und erm\u00F6glicht es, intensive Rechenprozesse mit gro\u00DFen Datenmengen (Big Data, Petabyte-Bereich) auf Computerclustern durchzuf\u00FChren. Hadoop wurde vom Lucene-Erfinder initiiert und 2006 erstmals ver\u00F6ffentlicht. Am 23. Januar 2008 wurde es zum Top-Level-Projekt der Apache Software Foundation.Nutzer sind unter anderem Facebook, a9.com, AOL, Baidu, IBM, ImageShack und Yahoo."@de . "\u0623\u0628\u0627\u062A\u0634\u064A \u0647\u062F\u0648\u0628"@ar . . . . . . . "Apache Hadoop"@en . . . . . . . . . "Hadoop est un framework libre et open source \u00E9crit en Java destin\u00E9 \u00E0 faciliter la cr\u00E9ation d'applications distribu\u00E9es (au niveau du stockage des donn\u00E9es et de leur traitement) et \u00E9chelonnables (scalables) permettant aux applications de travailler avec des milliers de n\u0153uds et des p\u00E9taoctets de donn\u00E9es. Ainsi chaque n\u0153ud est constitu\u00E9 de machines standard regroup\u00E9es en grappe. Tous les modules de Hadoop sont con\u00E7us selon l'id\u00E9e que les pannes mat\u00E9rielles sont fr\u00E9quentes et qu'en cons\u00E9quence elles doivent \u00EAtre g\u00E9r\u00E9es automatiquement par le framework. Hadoop a \u00E9t\u00E9 inspir\u00E9 par la publication de MapReduce, GoogleFS et BigTable de Google. Hadoop a \u00E9t\u00E9 cr\u00E9\u00E9 par Doug Cutting et fait partie des projets de la fondation logicielle Apache depuis 2009. Le noyau d'Hadoop est constitu\u00E9 d'une partie de stockage : HDFS (Hadoop Distributed File System), et d'une partie de traitement appel\u00E9e MapReduce. Hadoop fractionne les fichiers en gros blocs et les distribue \u00E0 travers les n\u0153uds du cluster. Pour traiter les donn\u00E9es, il transf\u00E8re le code \u00E0 chaque n\u0153ud et chaque n\u0153ud traite les donn\u00E9es dont il dispose. Cela permet de traiter l'ensemble des donn\u00E9es plus rapidement et plus efficacement que dans une architecture supercalculateur plus classique[r\u00E9f. n\u00E9cessaire] qui repose sur un syst\u00E8me de fichiers parall\u00E8le o\u00F9 les calculs et les donn\u00E9es sont distribu\u00E9s via les r\u00E9seaux \u00E0 grande vitesse. Le framework Hadoop de base se compose des modules suivants : \n* Hadoop Common ; \n* Hadoop Distributed File System (HDFS), syst\u00E8me de fichiers ; \n* Hadoop YARN ; \n* Hadoop MapReduce ; Le terme Hadoop se r\u00E9f\u00E8re non seulement aux modules de base ci-dessus, mais aussi \u00E0 son \u00E9cosyst\u00E8me et \u00E0 l'ensemble des logiciels qui viennent s'y connecter comme Apache Pig, Apache Hive, Apache HBase, Apache Phoenix, Apache Spark, Apache ZooKeeper, Apache Impala, Apache Flume, Apache Sqoop, Apache Oozie, Apache Storm."@fr . . "Apache Hadoop\u662F\u4E00\u6B3E\u652F\u6301\u6578\u64DA\u5BC6\u96C6\u578B\u5206\u4F48\u5F0F\u61C9\u7528\u7A0B\u5E8F\u5E76\u4EE5Apache 2.0\u8A31\u53EF\u5354\u8B70\u767C\u4F48\u7684\u958B\u6E90\u8EDF\u9AD4\u6846\u67B6\uFF0C\u6709\u52A9\u4E8E\u4F7F\u7528\u8BB8\u591A\u8BA1\u7B97\u673A\u7EC4\u6210\u7684\u7F51\u7EDC\u6765\u89E3\u51B3\u6570\u636E\u3001\u8BA1\u7B97\u5BC6\u96C6\u578B\u7684\u95EE\u9898\u3002\u57FA\u4E8EMapReduce\u8BA1\u7B97\u6A21\u578B\uFF0C\u5B83\u4E3A\u5927\u6570\u636E\u7684\u5206\u5E03\u5F0F\u5B58\u50A8\u4E0E\u5904\u7406\u63D0\u4F9B\u4E86\u4E00\u4E2A\u8F6F\u4EF6\u6846\u67B6\u3002\u6240\u6709\u7684Hadoop\u6A21\u5757\u90FD\u6709\u4E00\u4E2A\u57FA\u672C\u5047\u8BBE\uFF0C\u5373\u786C\u4EF6\u6545\u969C\u662F\u5E38\u89C1\u60C5\u51B5\uFF0C\u5E94\u8BE5\u7531\u6846\u67B6\u81EA\u52A8\u5904\u7406\u3002 Apache Hadoop\u7684\u6838\u5FC3\u6A21\u5757\u5206\u4E3A\u5B58\u50A8\u548C\u8BA1\u7B97\u6A21\u5757\uFF0C\u524D\u8005\u88AB\u79F0\u4E3AHadoop\u5206\u5E03\u5F0F\u6587\u4EF6\u7CFB\u7EDF\uFF08HDFS\uFF09\uFF0C\u540E\u8005\u5373MapReduce\u8BA1\u7B97\u6A21\u578B\u3002Hadoop\u6846\u67B6\u5148\u5C06\u6587\u4EF6\u5206\u6210\u6570\u636E\u5757\u5E76\u5206\u5E03\u5F0F\u5730\u5B58\u50A8\u5728\u96C6\u7FA4\u7684\u8BA1\u7B97\u8282\u70B9\u4E2D\uFF0C\u63A5\u7740\u5C06\u8D1F\u8D23\u8BA1\u7B97\u4EFB\u52A1\u7684\u4EE3\u7801\u4F20\u9001\u7ED9\u5404\u8282\u70B9\uFF0C\u8BA9\u5176\u80FD\u591F\u5E76\u884C\u5730\u5904\u7406\u6570\u636E\u3002\u8FD9\u79CD\u65B9\u6CD5\u6709\u6548\u5229\u7528\u4E86\u6570\u636E\u5C40\u90E8\u6027\uFF0C\u4EE4\u5404\u8282\u70B9\u5206\u522B\u5904\u7406\u5176\u80FD\u591F\u8BBF\u95EE\u7684\u6570\u636E\u3002\u4E0E\u4F20\u7EDF\u7684\u8D85\u7EA7\u8BA1\u7B97\u673A\u67B6\u6784\u76F8\u6BD4\uFF0C\u8FD9\u4F7F\u5F97\u6570\u636E\u96C6\u7684\u5904\u7406\u901F\u5EA6\u66F4\u5FEB\u3001\u6548\u7387\u66F4\u9AD8\u3002 Apache Hadoop\u6846\u67B6\u7531\u4EE5\u4E0B\u57FA\u672C\u6A21\u5757\u6784\u6210\uFF1A \n* Hadoop Common \u2013 \u5305\u542B\u4E86\u5176\u4ED6Hadoop \u6A21\u5757\u6240\u9700\u7684\u5E93\u548C\u5B9E\u7528\u7A0B\u5E8F\uFF1B \n* Hadoop Distributed File System (HDFS) \u2013 \u4E00\u79CD\u5C06\u6570\u636E\u5B58\u50A8\u5728\u96C6\u7FA4\u4E2D\u591A\u4E2A\u8282\u70B9\u4E2D\u7684\u5206\u5E03\u5F0F\u6587\u4EF6\u7CFB\u7EDF\uFF0C\u80FD\u591F\u63D0\u4F9B\u5F88\u9AD8\u7684\u5E26\u5BBD\uFF1B \n* Hadoop YARN \u2013 \uFF08\u4E8E2012\u5E74\u5F15\u5165\uFF09 \u4E00\u4E2A\u8D1F\u8D23\u7BA1\u7406\u96C6\u7FA4\u4E2D\u8BA1\u7B97\u8D44\u6E90\uFF0C\u5E76\u5B9E\u73B0\u7528\u6237\u7A0B\u5E8F\u8C03\u5EA6\u7684\u5E73\u53F0\uFF1B \n* Hadoop MapReduce \u2013 \u7528\u4E8E\u5927\u89C4\u6A21\u6570\u636E\u5904\u7406\u7684MapReduce\u8BA1\u7B97\u6A21\u578B\u5B9E\u73B0\uFF1B \n* Hadoop Ozone \u2013 \uFF08\u4E8E2020\u5E74\u5F15\u5165\uFF09 Hadoop\u7684\u5BF9\u8C61\u5B58\u50A8\u3002 Hadoop \u4E00\u8BCD\u901A\u5E38\u4EE3\u6307\u5176\u57FA\u672C\u6A21\u5757\u548C\u5B50\u6A21\u5757\u4EE5\u53CA\u751F\u6001\u7CFB\u7EDF\uFF0C\u6216\u53EF\u4EE5\u5B89\u88C5\u5728 Hadoop \u4E4B\u4E0A\u7684\u8F6F\u4EF6\u5305\u7684\u96C6\u5408\uFF0C\u4F8B\u5982Apache Pig\u3001Apache Hive\u3001Apache HBase\u3001\u3001Apache Spark\u3001Apache ZooKeeper\u3001\u3001\u3001Apache Sqoop\u3001\u548CApache Storm\u3002 Apache Hadoop\u7684MapReduce\u548CHDFS\u6A21\u5757\u7684\u7075\u611F\u6765\u6E90\u4E8EGoogle\u7684MapReduce\u548CGoogle File System\u8BBA\u6587\u3002 Hadoop \u6846\u67B6\u672C\u8EAB\u4E3B\u8981\u662F\u7528Java\u7F16\u7A0B\u8BED\u8A00\u7F16\u5199\u7684\uFF0C\u4E5F\u5305\u62EC\u4E86\u4E00\u4E9BC\u8BED\u8A00\u7F16\u5199\u7684\u672C\u673A\u4EE3\u7801\u548CShell\u811A\u672C\u7F16\u5199\u7684\u547D\u4EE4\u884C\u5B9E\u7528\u7A0B\u5E8F\u3002\u5C3D\u7BA1MapReduce Java\u4EE3\u7801\u5F88\u5E38\u89C1\uFF0C\u4F46\u4EFB\u4F55\u7F16\u7A0B\u8BED\u8A00\u90FD\u53EF\u4EE5\u4E0EHadoop Streaming\u4E00\u8D77\u4F7F\u7528\u6765\u5B9E\u73B0\u7528\u6237\u7A0B\u5E8F\u7684map\u548Creduce\u90E8\u5206\u3002Hadoop \u751F\u6001\u7CFB\u7EDF\u4E2D\u7684\u5176\u4ED6\u9879\u76EE\u5B9E\u73B0\u4E86\u66F4\u4E3A\u4E30\u5BCC\u7684\u7528\u6237\u754C\u9762\u3002"@zh . . . . . . . . "Apache Hadoop \u2013 otwarta platforma programistyczna napisana w j\u0119zyku Java przeznaczona do rozproszonego sk\u0142adowania i przetwarzania wielkich zbior\u00F3w danych przy pomocy klastr\u00F3w komputerowych. Jest jednym z projekt\u00F3w rozwijanych przez fundacj\u0119 Apache. Wszystkie modu\u0142y Hadoop zosta\u0142y zaprojektowane z za\u0142o\u017Ceniem, \u017Ce awarie sprz\u0119towe s\u0105 rzecz\u0105 naturaln\u0105 i powinny by\u0107 automatycznie obs\u0142ugiwane przez framework. Apache Hadoop sk\u0142ada si\u0119 z nast\u0119puj\u0105cych modu\u0142\u00F3w: Modu\u0142y MapReduce i HDFS zosta\u0142y zainspirowane materia\u0142ami Google na temat ich implementacji MapReduce i ich rozproszonego systemu plik\u00F3w ."@pl . . . . . "Apache Hadoop"@en . . "Hadoop je framework obsahuj\u00EDc\u00ED sadu opensource softwarov\u00FDch komponent ur\u010Den\u00FDch pro zpracov\u00E1n\u00ED velk\u00E9ho mno\u017Estv\u00ED nestrukturovan\u00FDch a distribuovan\u00FDch dat v \u0159\u00E1dech petabyt\u016F a exabyt\u016F."@cs . . . . . . . "Apache Hadoop \u2014 \u0432\u0456\u043B\u044C\u043D\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043D\u0430 \u043F\u043B\u0430\u0442\u0444\u043E\u0440\u043C\u0430 \u0456 \u043A\u0430\u0440\u043A\u0430\u0441 \u0434\u043B\u044F \u043E\u0440\u0433\u0430\u043D\u0456\u0437\u0430\u0446\u0456\u0457 \u0456 \u043E\u0431\u0440\u043E\u0431\u043A\u0438 \u043D\u0430\u0431\u043E\u0440\u0456\u0432 \u0432\u0435\u043B\u0438\u043A\u0438\u0445 \u0434\u0430\u043D\u0438\u0445 \u0437 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F\u043C MapReduce, \u043F\u0440\u0438 \u044F\u043A\u0456\u0439 \u0437\u0430\u0432\u0434\u0430\u043D\u043D\u044F \u0434\u0456\u043B\u0438\u0442\u044C\u0441\u044F \u043D\u0430 \u0431\u0430\u0433\u0430\u0442\u043E \u0434\u0440\u0456\u0431\u043D\u0456\u0448\u0438\u0445 \u0432\u0456\u0434\u043E\u0441\u043E\u0431\u043B\u0435\u043D\u0438\u0445 \u0444\u0440\u0430\u0433\u043C\u0435\u043D\u0442\u0456\u0432, \u043A\u043E\u0436\u0435\u043D \u0437 \u044F\u043A\u0438\u0445 \u043C\u043E\u0436\u0435 \u0431\u0443\u0442\u0438 \u0437\u0430\u043F\u0443\u0449\u0435\u043D\u0438\u0439 \u043D\u0430 \u043E\u043A\u0440\u0435\u043C\u043E\u043C\u0443 \u0432\u0443\u0437\u043B\u0456 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430, \u0449\u043E \u0441\u043A\u043B\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u0437 . \u0412\u0441\u0456 \u043C\u043E\u0434\u0443\u043B\u0456 \u0432 Hadoop \u0441\u043F\u0440\u043E\u0454\u043A\u0442\u043E\u0432\u0430\u043D\u0456 \u0437 \u0432\u0440\u0430\u0445\u0443\u0432\u0430\u043D\u043D\u044F\u043C \u043F\u0440\u0438\u043F\u0443\u0449\u0435\u043D\u043D\u044F, \u0449\u043E \u0430\u043F\u0430\u0440\u0430\u0442\u043D\u0435 \u0437\u0430\u0431\u0435\u0437\u043F\u0435\u0447\u0435\u043D\u043D\u044F \u0447\u0430\u0441\u0442\u043E \u0432\u0438\u0445\u043E\u0434\u0438\u0442\u044C \u0437 \u043B\u0430\u0434\u0443 \u0456 \u0442\u0430\u043A\u0456 \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0457 \u043F\u043E\u0432\u0438\u043D\u043D\u0456 \u0430\u0432\u0442\u043E\u043C\u0430\u0442\u0438\u0447\u043D\u043E \u043E\u043F\u0440\u0430\u0446\u044C\u043E\u0432\u0443\u0432\u0430\u0442\u0438\u0441\u044C \u0444\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A\u043E\u043C. \u042F\u0434\u0440\u043E \u0441\u0438\u0441\u0442\u0435\u043C\u0438 Apache Hadoop \u0441\u043A\u043B\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u0437 \u0440\u043E\u0437\u043F\u043E\u0434\u0456\u043B\u0435\u043D\u043E\u0457 \u0444\u0430\u0439\u043B\u043E\u0432\u043E\u0457 \u0441\u0438\u0441\u0442\u0435\u043C\u0438 Hadoop Distributed Filesystem (HDFS), \u0442\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0438 \u043E\u0431\u0447\u0438\u0441\u043B\u0435\u043D\u044C \u043D\u0430 \u043E\u0441\u043D\u043E\u0432\u0456 \u043C\u043E\u0434\u0435\u043B\u0456 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0443\u0432\u0430\u043D\u043D\u044F MapReduce. Hadoop \u0440\u043E\u0437\u0434\u0456\u043B\u044F\u0454 \u0444\u0430\u0439\u043B\u0438 \u043D\u0430 \u0432\u0435\u043B\u0438\u043A\u0456 \u0431\u043B\u043E\u043A\u0438 \u0456 \u0440\u043E\u0437\u043F\u043E\u0434\u0456\u043B\u044F\u0454 \u0457\u0445 \u043C\u0456\u0436 \u0432\u0443\u0437\u043B\u0430\u043C\u0438 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430. \u0422\u043E\u0434\u0456 \u0432\u0456\u043D \u043F\u0435\u0440\u0435\u0434\u0430\u0454 \u0437\u0430\u043F\u0430\u043A\u043E\u0432\u0430\u043D\u0438\u0439 \u043A\u043E\u0434 \u043D\u0430 \u0432\u0443\u0437\u043B\u0438 \u0434\u043B\u044F \u043F\u0430\u0440\u0430\u043B\u0435\u043B\u044C\u043D\u043E\u0457 \u043E\u0431\u0440\u043E\u0431\u043A\u0438 \u0434\u0430\u043D\u0438\u0445. \u0426\u0435\u0439 \u043F\u0456\u0434\u0445\u0456\u0434 \u043A\u043E\u0440\u0438\u0441\u0442\u0443\u0454\u0442\u044C\u0441\u044F , \u043A\u043E\u043B\u0438 \u0432\u0443\u0437\u043B\u0438 \u043C\u0430\u043D\u0456\u043F\u0443\u043B\u044E\u044E\u0442\u044C \u043B\u0438\u0448\u0435 \u0434\u0430\u043D\u0438\u043C\u0438 \u0434\u043E \u044F\u043A\u0438\u0445 \u043C\u0430\u044E\u0442\u044C \u0434\u043E\u0441\u0442\u0443\u043F. \u0426\u0435 \u0434\u043E\u0437\u0432\u043E\u043B\u044F\u0454 \u043E\u0431\u0440\u043E\u0431\u043B\u044F\u0442\u0438 \u043D\u0430\u0431\u0456\u0440 \u0434\u0430\u043D\u0438\u0445 \u0448\u0432\u0438\u0434\u0448\u0435 \u0456 \u0435\u0444\u0435\u043A\u0442\u0438\u0432\u043D\u0456\u0448\u0435 \u043D\u0456\u0436 \u0432 \u0442\u0440\u0430\u0434\u0438\u0446\u0456\u0439\u043D\u0456\u0448\u0456\u0439 \u044F\u043A\u0430 \u043F\u043E\u043A\u043B\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u043D\u0430 \u0432 \u044F\u043A\u0456\u0439 \u043E\u0431\u0447\u0438\u0441\u043B\u0435\u043D\u043D\u044F \u0442\u0430 \u0434\u0430\u043D\u0456 \u0434\u043B\u044F \u043D\u0438\u0445 \u043F\u0435\u0440\u0435\u0434\u0430\u044E\u0442\u044C\u0441\u044F \u0447\u0435\u0440\u0435\u0437 \u0432\u0438\u0441\u043E\u043A\u043E\u0448\u0432\u0438\u0434\u043A\u0456\u0441\u043D\u0443 \u043C\u0435\u0440\u0435\u0436\u0443. \u041E\u0441\u043D\u043E\u0432\u043D\u0438\u0439 \u0444\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A Apache Hadoop \u0441\u043A\u043B\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u0437 \u043D\u0430\u0441\u0442\u0443\u043F\u043D\u0438\u0445 \u043C\u043E\u0434\u0443\u043B\u0456\u0432: \n* Hadoop Common \u2014 \u043C\u0456\u0441\u0442\u0438\u0442\u044C \u0431\u0456\u0431\u043B\u0456\u043E\u0442\u0435\u043A\u0438 \u0442\u0430 \u0443\u0442\u0438\u043B\u0456\u0442\u0438 \u043F\u043E\u0442\u0440\u0456\u0431\u043D\u0456 \u0456\u043D\u0448\u0438\u043C \u043C\u043E\u0434\u0443\u043B\u044F\u043C Hadoop; \n* Hadoop Distributed File System (HDFS) \u2014 \u0440\u043E\u0437\u043F\u043E\u0434\u0456\u043B\u0435\u043D\u0430 \u0444\u0430\u0439\u043B\u043E\u0432\u0430 \u0441\u0438\u0441\u0442\u0435\u043C\u0430, \u044F\u043A\u0430 \u0437\u0431\u0435\u0440\u0456\u0433\u0430\u0454 \u0434\u0430\u043D\u0456 \u043D\u0430 \u0437\u0432\u0438\u0447\u0430\u0439\u043D\u0438\u0445 \u043C\u0430\u0448\u0438\u043D\u0430\u0445, \u043D\u0430\u0434\u0430\u044E\u0447\u0438 \u0434\u0443\u0436\u0435 \u0432\u0438\u0441\u043E\u043A\u0443 \u0437\u0430\u0433\u0430\u043B\u044C\u043D\u0443 \u043F\u0440\u043E\u043F\u0443\u0441\u043A\u043D\u0443 \u0437\u0434\u0430\u0442\u043D\u0456\u0441\u0442\u044C \u043D\u0430 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0456 \u0437\u0430\u0433\u0430\u043B\u043E\u043C; \n* Hadoop YARN \u2014 \u043F\u043B\u0430\u0442\u0444\u043E\u0440\u043C\u0430 \u0449\u043E \u0432\u0456\u0434\u043F\u043E\u0432\u0456\u0434\u0430\u0454 \u0437\u0430 \u043A\u0435\u0440\u0443\u0432\u0430\u043D\u043D\u044F \u043E\u0431\u0447\u0438\u0441\u043B\u044E\u0432\u0430\u043B\u044C\u043D\u0438\u043C\u0438 \u0440\u0435\u0441\u0443\u0440\u0441\u0430\u043C\u0438 \u0432 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430\u0445 \u0456 \u0457\u0445 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F \u0434\u043B\u044F \u043A\u043E\u0440\u0438\u0441\u0442\u0443\u0432\u0430\u0446\u044C\u043A\u0438\u0445 \u0437\u0430\u0432\u0434\u0430\u043D\u044C. \n* Hadoop MapReduce \u2014 \u0440\u0435\u0430\u043B\u0456\u0437\u0430\u0446\u0456\u044F \u043C\u043E\u0434\u0435\u043B\u0456 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0443\u0432\u0430\u043D\u043D\u044F MapReduce \u0434\u043B\u044F \u043E\u0431\u0440\u043E\u0431\u043A\u0438 \u0432\u0435\u043B\u0438\u043A\u0438\u0445 \u043E\u0431'\u0454\u043C\u0456\u0432 \u0434\u0430\u043D\u0438\u0445. \u0417 \u0447\u0430\u0441\u043E\u043C, \u0442\u0435\u0440\u043C\u0456\u043D Hadoop \u043F\u043E\u0447\u0430\u0432 \u0432\u0436\u0438\u0432\u0430\u0442\u0438\u0441\u044C \u043D\u0435 \u0442\u0456\u043B\u044C\u043A\u0438 \u0449\u043E\u0434\u043E \u0432\u0438\u0449\u0435\u0437\u0433\u0430\u0434\u0430\u043D\u0438\u0445 \u0431\u0430\u0437\u043E\u0432\u0438\u0445 \u043C\u043E\u0434\u0443\u043B\u0456\u0432 \u0442\u0430 \u043F\u0456\u0434\u043C\u043E\u0434\u0443\u043B\u0456\u0432, \u0430 \u0439 \u0434\u043E \u00AB\u0435\u043A\u043E\u0441\u0438\u0441\u0442\u0435\u043C\u0438\u00BB, \u0442\u043E\u0431\u0442\u043E \u043D\u0430\u0431\u043E\u0440\u0443 \u0434\u043E\u0434\u0430\u0442\u043A\u043E\u0432\u0438\u0445 \u043F\u0430\u043A\u0435\u0442\u0456\u0432 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043D\u043E\u0433\u043E \u0437\u0430\u0431\u0435\u0437\u043F\u0435\u0447\u0435\u043D\u043D\u044F, \u044F\u043A\u0456 \u043C\u043E\u0436\u0443\u0442\u044C \u0432\u0441\u0442\u0430\u043D\u043E\u0432\u043B\u044E\u0432\u0430\u0442\u0438\u0441\u044C \u043F\u043E\u0432\u0435\u0440\u0445, \u0430\u0431\u043E \u043F\u043E\u0440\u044F\u0434 \u0437 Hadoop, \u043D\u0430\u043F\u0440\u0438\u043A\u043B\u0430\u0434 \u0442\u0430\u043A\u0438\u0445 \u044F\u043A , , , , Apache Spark, , , , Apache Sqoop, , \u0442\u0430 . MapReduce \u0442\u0430 HDFS \u0432 Apache Hadoop's \u0431\u0443\u043B\u0438 \u043D\u0430\u0442\u0445\u043D\u0435\u043D\u043D\u0438\u043C\u0438 \u0441\u0442\u0430\u0442\u0442\u044F\u043C\u0438 Google \u043F\u0440\u043E \u0457\u0445 \u0430\u043B\u0433\u043E\u0440\u0438\u0442\u043C MapReduce \u0442\u0430 Google File System. \u0424\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A Hadoop \u043D\u0430\u043F\u0438\u0441\u0430\u043D\u0438\u0439 \u043F\u0435\u0440\u0435\u0432\u0430\u0436\u043D\u043E \u043D\u0430 Java, \u0437 \u0447\u0430\u0441\u0442\u0438\u043D\u043E\u044E \u0441\u0438\u0441\u0442\u0435\u043C\u043D\u043E\u0433\u043E \u043A\u043E\u0434\u0443 \u043D\u0430 C \u0442\u0430 \u0443\u0442\u0438\u043B\u0456\u0442\u0430\u043C\u0438 \u043A\u043E\u043C\u0430\u043D\u0434\u043D\u043E\u0433\u043E \u0440\u044F\u0434\u043A\u0430 \u044F\u043A . \u0425\u043E\u0447\u0430 \u0432 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0430\u0445 MapReduce \u0437\u0432\u0438\u0447\u0430\u0439\u043D\u0438\u043C \u0454 \u043A\u043E\u0434 \u043D\u0430 Java, \u0434\u043B\u044F \u0440\u0435\u0430\u043B\u0456\u0437\u0430\u0446\u0456\u0457 \u00ABmap\u00BB \u0442\u0430 \u00ABreduce\u00BB \u0447\u0430\u0441\u0442\u0438\u043D \u043A\u043E\u0440\u0438\u0441\u0442\u0443\u0432\u0430\u0446\u044C\u043A\u043E\u0457 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0438 \u043C\u043E\u0436\u043D\u0430 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u0432\u0430\u0442\u0438 \u0431\u0443\u0434\u044C-\u044F\u043A\u0443 \u043C\u043E\u0432\u0443 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0443\u0432\u0430\u043D\u043D\u044F \u0437\u0430\u0432\u0434\u044F\u043A\u0438 \u00ABHadoop Streaming\u00BB. \u0406\u043D\u0448\u0456 \u043F\u0440\u043E\u0454\u043A\u0442\u0438 \u0432 \u0435\u043A\u043E\u0441\u0438\u0441\u0442\u0435\u043C\u0456 Hadoop \u043D\u0430\u0434\u0430\u044E\u0442\u044C \u0431\u0430\u0433\u0430\u0442\u0448\u0456 \u0456\u043D\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0438 \u043A\u043E\u0440\u0438\u0441\u0442\u0443\u0432\u0430\u0447\u0430."@uk . . . . "Hadoop est un framework libre et open source \u00E9crit en Java destin\u00E9 \u00E0 faciliter la cr\u00E9ation d'applications distribu\u00E9es (au niveau du stockage des donn\u00E9es et de leur traitement) et \u00E9chelonnables (scalables) permettant aux applications de travailler avec des milliers de n\u0153uds et des p\u00E9taoctets de donn\u00E9es. Ainsi chaque n\u0153ud est constitu\u00E9 de machines standard regroup\u00E9es en grappe. Tous les modules de Hadoop sont con\u00E7us selon l'id\u00E9e que les pannes mat\u00E9rielles sont fr\u00E9quentes et qu'en cons\u00E9quence elles doivent \u00EAtre g\u00E9r\u00E9es automatiquement par le framework."@fr . . . . . . . . "Hadoop"@pt . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Apache Hadoop"@zh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Apache Hadoop"@es . . . . . "Apache Hadoop"@ca . . . "Apatxe Hadoop \u00E9s un entorn de treball per a programari, baix llic\u00E8ncia lliure, per a programar aplicacions distribu\u00EFdes que manegin grans volums de dades (big data). Permet a les aplicacions treballar amb milers de nodes en xarxa i petabytes de dades. Hadoop es va inspirar en els documents de Google sobre MapReduce i Google File System (GFS). Hadoop \u00E9s un projecte de l'organitzaci\u00F3 Apatxe que est\u00E0 sent constru\u00EFt i usat per una comunitat global de contribuents, mitjan\u00E7ant el llenguatge de programaci\u00F3 Java. Yahoo! ha estat el major contribuent al projecte, i usa Hadoop extensivament en el seu negoci."@ca . "\uC544\uD30C\uCE58 \uD558\uB461(Apache Hadoop, High-Availability Distributed Object-Oriented Platform)\uC740 \uB300\uB7C9\uC758 \uC790\uB8CC\uB97C \uCC98\uB9AC\uD560 \uC218 \uC788\uB294 \uD070 \uCEF4\uD4E8\uD130 \uD074\uB7EC\uC2A4\uD130\uC5D0\uC11C \uB3D9\uC791\uD558\uB294 \uBD84\uC0B0 \uC751\uC6A9 \uD504\uB85C\uADF8\uB7A8\uC744 \uC9C0\uC6D0\uD558\uB294 \uD504\uB9AC\uC6E8\uC5B4 \uC790\uBC14 \uC18C\uD504\uD2B8\uC6E8\uC5B4 \uD504\uB808\uC784\uC6CC\uD06C\uC774\uB2E4. \uC6D0\uB798 \uB108\uCE58\uC758 \uBD84\uC0B0 \uCC98\uB9AC\uB97C \uC9C0\uC6D0\uD558\uAE30 \uC704\uD574 \uAC1C\uBC1C\uB41C \uAC83\uC73C\uB85C, \uC544\uD30C\uCE58 \uB8E8\uC52C\uC758 \uD558\uBD80 \uD504\uB85C\uC81D\uD2B8\uC774\uB2E4. \uBD84\uC0B0\uCC98\uB9AC \uC2DC\uC2A4\uD15C\uC778 \uAD6C\uAE00 \uD30C\uC77C \uC2DC\uC2A4\uD15C\uC744 \uB300\uCCB4\uD560 \uC218 \uC788\uB294 \uD558\uB461 \uBD84\uC0B0 \uD30C\uC77C \uC2DC\uC2A4\uD15C(HDFS: Hadoop Distributed File System)\uACFC \uB9F5\uB9AC\uB4C0\uC2A4\uB97C \uAD6C\uD604\uD55C \uAC83\uC774\uB2E4.. \uBCA0\uC774\uC2A4 \uC544\uD30C\uCE58 \uD558\uB461 \uD504\uB808\uC784\uC6CC\uD06C\uB294 \uB2E4\uC74C\uC758 \uBAA8\uB4C8\uC744 \uD3EC\uD568\uD558\uACE0 \uC788\uB2E4 \n* \uD558\uB461 \uCEE4\uBA3C(Hadoop Common) \n* \uD558\uB461 \uBD84\uC0B0 \uD30C\uC77C \uC2DC\uC2A4\uD15C(HDFS) \n* \uD558\uB461 YARN \n* \uD558\uB461 \uB9F5\uB9AC\uB4C0\uC2A4"@ko . . . . "Apache Hadoop ist ein freies, in Java geschriebenes Framework f\u00FCr skalierbare, verteilt arbeitende Software. Es basiert auf dem MapReduce-Algorithmus von Google Inc. sowie auf Vorschl\u00E4gen des Google-Dateisystems und erm\u00F6glicht es, intensive Rechenprozesse mit gro\u00DFen Datenmengen (Big Data, Petabyte-Bereich) auf Computerclustern durchzuf\u00FChren. Hadoop wurde vom Lucene-Erfinder initiiert und 2006 erstmals ver\u00F6ffentlicht. Am 23. Januar 2008 wurde es zum Top-Level-Projekt der Apache Software Foundation.Nutzer sind unter anderem Facebook, a9.com, AOL, Baidu, IBM, ImageShack und Yahoo."@de . . . . "Apache Hadoop"@en . . "Apache Hadoop"@nl . . . . . . "Hadoop"@fr . . "Apache Hadoop"@uk . "Apache Hadoop is een open source softwareframework voor en verwerking van grote hoeveelheden data met behulp van het MapReduce paradigma. Hadoop is als platform een drijvende kracht achter de populariteit van big data. Het draait op een cluster van computers dat bestaat uit . In het ontwerp van de Hadoop-softwarecomponenten is rekening gehouden met uitval van systemen in een cluster, door o.a. data te repliceren en te verspreiden over meerdere computers/opslagmedia."@nl . . "46631"^^ . . . . "1124751823"^^ . . . . "Apache Hadoop es un entorno de trabajo para software, bajo licencia libre, para programar aplicaciones distribuidas que manejen grandes vol\u00FAmenes de datos (big data).\u200B Permite a las aplicaciones trabajar con miles de nodos en red y petabytes de datos. Hadoop se inspir\u00F3 en los documentos de Google sobre MapReduce y Google File System (GFS)."@es . . . . "Apache Hadoop \u2014 \u0432\u0456\u043B\u044C\u043D\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043D\u0430 \u043F\u043B\u0430\u0442\u0444\u043E\u0440\u043C\u0430 \u0456 \u043A\u0430\u0440\u043A\u0430\u0441 \u0434\u043B\u044F \u043E\u0440\u0433\u0430\u043D\u0456\u0437\u0430\u0446\u0456\u0457 \u0456 \u043E\u0431\u0440\u043E\u0431\u043A\u0438 \u043D\u0430\u0431\u043E\u0440\u0456\u0432 \u0432\u0435\u043B\u0438\u043A\u0438\u0445 \u0434\u0430\u043D\u0438\u0445 \u0437 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F\u043C MapReduce, \u043F\u0440\u0438 \u044F\u043A\u0456\u0439 \u0437\u0430\u0432\u0434\u0430\u043D\u043D\u044F \u0434\u0456\u043B\u0438\u0442\u044C\u0441\u044F \u043D\u0430 \u0431\u0430\u0433\u0430\u0442\u043E \u0434\u0440\u0456\u0431\u043D\u0456\u0448\u0438\u0445 \u0432\u0456\u0434\u043E\u0441\u043E\u0431\u043B\u0435\u043D\u0438\u0445 \u0444\u0440\u0430\u0433\u043C\u0435\u043D\u0442\u0456\u0432, \u043A\u043E\u0436\u0435\u043D \u0437 \u044F\u043A\u0438\u0445 \u043C\u043E\u0436\u0435 \u0431\u0443\u0442\u0438 \u0437\u0430\u043F\u0443\u0449\u0435\u043D\u0438\u0439 \u043D\u0430 \u043E\u043A\u0440\u0435\u043C\u043E\u043C\u0443 \u0432\u0443\u0437\u043B\u0456 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430, \u0449\u043E \u0441\u043A\u043B\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u0437 . \u0412\u0441\u0456 \u043C\u043E\u0434\u0443\u043B\u0456 \u0432 Hadoop \u0441\u043F\u0440\u043E\u0454\u043A\u0442\u043E\u0432\u0430\u043D\u0456 \u0437 \u0432\u0440\u0430\u0445\u0443\u0432\u0430\u043D\u043D\u044F\u043C \u043F\u0440\u0438\u043F\u0443\u0449\u0435\u043D\u043D\u044F, \u0449\u043E \u0430\u043F\u0430\u0440\u0430\u0442\u043D\u0435 \u0437\u0430\u0431\u0435\u0437\u043F\u0435\u0447\u0435\u043D\u043D\u044F \u0447\u0430\u0441\u0442\u043E \u0432\u0438\u0445\u043E\u0434\u0438\u0442\u044C \u0437 \u043B\u0430\u0434\u0443 \u0456 \u0442\u0430\u043A\u0456 \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0457 \u043F\u043E\u0432\u0438\u043D\u043D\u0456 \u0430\u0432\u0442\u043E\u043C\u0430\u0442\u0438\u0447\u043D\u043E \u043E\u043F\u0440\u0430\u0446\u044C\u043E\u0432\u0443\u0432\u0430\u0442\u0438\u0441\u044C \u0444\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A\u043E\u043C. \u041E\u0441\u043D\u043E\u0432\u043D\u0438\u0439 \u0444\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A Apache Hadoop \u0441\u043A\u043B\u0430\u0434\u0430\u0454\u0442\u044C\u0441\u044F \u0437 \u043D\u0430\u0441\u0442\u0443\u043F\u043D\u0438\u0445 \u043C\u043E\u0434\u0443\u043B\u0456\u0432:"@uk . . . "Apache Hadoop ( /h\u0259\u02C8du\u02D0p/) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It has since also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This approach takes advantage of data locality, where nodes manipulate the data they have access to. This allows the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high-speed networking. The base Apache Hadoop framework is composed of the following modules: \n* Hadoop Common \u2013 contains libraries and utilities needed by other Hadoop modules; \n* Hadoop Distributed File System (HDFS) \u2013 a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster; \n* Hadoop YARN \u2013 (introduced in 2012) a platform responsible for managing computing resources in clusters and using them for scheduling users' applications; \n* Hadoop MapReduce \u2013 an implementation of the MapReduce programming model for large-scale data processing. \n* Hadoop Ozone \u2013 (introduced in 2020) An object store for Hadoop The term Hadoop is often used for both base modules and sub-modules and also the ecosystem, or collection of additional software packages that can be installed on top of or alongside Hadoop, such as Apache Pig, Apache Hive, Apache HBase, Apache Phoenix, Apache Spark, Apache ZooKeeper, Apache Impala, Apache Flume, Apache Sqoop, Apache Oozie, and Apache Storm. Apache Hadoop's MapReduce and HDFS components were inspired by Google papers on MapReduce and Google File System. The Hadoop framework itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell scripts. Though MapReduce Java code is common, any programming language can be used with Hadoop Streaming to implement the map and reduce parts of the user's program. Other projects in the Hadoop ecosystem expose richer user interfaces."@en . . "Apache Hadoop \u2013 otwarta platforma programistyczna napisana w j\u0119zyku Java przeznaczona do rozproszonego sk\u0142adowania i przetwarzania wielkich zbior\u00F3w danych przy pomocy klastr\u00F3w komputerowych. Jest jednym z projekt\u00F3w rozwijanych przez fundacj\u0119 Apache. Wszystkie modu\u0142y Hadoop zosta\u0142y zaprojektowane z za\u0142o\u017Ceniem, \u017Ce awarie sprz\u0119towe s\u0105 rzecz\u0105 naturaln\u0105 i powinny by\u0107 automatycznie obs\u0142ugiwane przez framework. Apache Hadoop sk\u0142ada si\u0119 z nast\u0119puj\u0105cych modu\u0142\u00F3w: \n* Hadoop Common \u2013 biblioteki i narz\u0119dzia u\u017Cywane przez pozosta\u0142e modu\u0142y; \n* Hadoop Distributed File System (HDFS) \u2013 rozproszony system plik\u00F3w; \n* Hadoop YARN \u2013 platforma do zarz\u0105dzania zasobami klastra; \n* \u2013 implementacja paradygmatu MapReduce do przetwarzania du\u017Cych ilo\u015Bci danych. Okre\u015Blenie Hadoop cz\u0119sto jest u\u017Cywane nie tylko w odniesieniu do powy\u017Cszych modu\u0142\u00F3w, ale tak\u017Ce do ca\u0142ego ekosystemu aplikacji, kt\u00F3re mog\u0105 by\u0107 u\u017Cywane w po\u0142\u0105czeniu z Hadoop: , , , , Apache Spark, , , , , , . Modu\u0142y MapReduce i HDFS zosta\u0142y zainspirowane materia\u0142ami Google na temat ich implementacji MapReduce i ich rozproszonego systemu plik\u00F3w . Jeszcze zanim osi\u0105gn\u0105\u0142 wydanie stabilne, by\u0142 ju\u017C wykorzystywany w powa\u017Cnych zastosowaniach (Amazon, AOL, Facebook, Yahoo). Autorami projektu s\u0105 oraz ."@pl . . "Apache Hadoop \u00E8 un framework sotto una licenza libera che supporta applicazioni distribuite con elevato accesso ai dati, permettendo alle applicazioni di lavorare con migliaia di nodi e petabyte di dati. Ispirato dalla MapReduce di Google e dal Google File System, \u00E8 un progetto della fondazione Apache di alto livello costruito e usato da una comunit\u00E0 globale di contributori, che usano i linguaggi di programmazione Java e Scala. Usato anche da AOL, Ebay, Facebook, IBM, Linkedin, Spotify, The New York Times e Twitter, il pi\u00F9 grande contributore a questo progetto \u00E8 stato Yahoo!, e ne fa fortemente uso. Offre una grande quantit\u00E0 di librerie di semplice utilizzo ed ha per il momento tre versioni, la prima versione di Hadoop contiene Map Reduce e Hadoop Distributed File System (HDFS); dalla prima versione di Hadoop sono cambiate le necessit\u00E0 di prestazione, per questo motivo la seconda versione \u00E8 stata quindi integrata con YARN. Il nome del progetto \u00E8 stato scelto dal suo creatore Doug Cutting, il quale ha scelto Hadoop, il nome dell'elefante di pezza di suo figlio.In origine fu sviluppato per supportare la distribuzione per il progetto del motore di ricerca Nutch."@it . . . . . "Hadoop \u2014 \u043F\u0440\u043E\u0435\u043A\u0442 \u0444\u043E\u043D\u0434\u0430 Apache Software Foundation, \u0441\u0432\u043E\u0431\u043E\u0434\u043D\u043E \u0440\u0430\u0441\u043F\u0440\u043E\u0441\u0442\u0440\u0430\u043D\u044F\u0435\u043C\u044B\u0439 \u043D\u0430\u0431\u043E\u0440 \u0443\u0442\u0438\u043B\u0438\u0442, \u0431\u0438\u0431\u043B\u0438\u043E\u0442\u0435\u043A \u0438 \u0444\u0440\u0435\u0439\u043C\u0432\u043E\u0440\u043A \u0434\u043B\u044F \u0440\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u043A\u0438 \u0438 \u0432\u044B\u043F\u043E\u043B\u043D\u0435\u043D\u0438\u044F \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0451\u043D\u043D\u044B\u0445 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C, \u0440\u0430\u0431\u043E\u0442\u0430\u044E\u0449\u0438\u0445 \u043D\u0430 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430\u0445 \u0438\u0437 \u0441\u043E\u0442\u0435\u043D \u0438 \u0442\u044B\u0441\u044F\u0447 \u0443\u0437\u043B\u043E\u0432. \u0418\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0435\u0442\u0441\u044F \u0434\u043B\u044F \u0440\u0435\u0430\u043B\u0438\u0437\u0430\u0446\u0438\u0438 \u043F\u043E\u0438\u0441\u043A\u043E\u0432\u044B\u0445 \u0438 \u043A\u043E\u043D\u0442\u0435\u043A\u0441\u0442\u043D\u044B\u0445 \u043C\u0435\u0445\u0430\u043D\u0438\u0437\u043C\u043E\u0432 \u043C\u043D\u043E\u0433\u0438\u0445 \u0432\u044B\u0441\u043E\u043A\u043E\u043D\u0430\u0433\u0440\u0443\u0436\u0435\u043D\u043D\u044B\u0445 \u0432\u0435\u0431-\u0441\u0430\u0439\u0442\u043E\u0432, \u0432 \u0442\u043E\u043C \u0447\u0438\u0441\u043B\u0435, \u0434\u043B\u044F Yahoo! \u0438 Facebook. \u0420\u0430\u0437\u0440\u0430\u0431\u043E\u0442\u0430\u043D \u043D\u0430 Java \u0432 \u0440\u0430\u043C\u043A\u0430\u0445 \u0432\u044B\u0447\u0438\u0441\u043B\u0438\u0442\u0435\u043B\u044C\u043D\u043E\u0439 \u043F\u0430\u0440\u0430\u0434\u0438\u0433\u043C\u044B MapReduce, \u0441\u043E\u0433\u043B\u0430\u0441\u043D\u043E \u043A\u043E\u0442\u043E\u0440\u043E\u0439 \u043F\u0440\u0438\u043B\u043E\u0436\u0435\u043D\u0438\u0435 \u0440\u0430\u0437\u0434\u0435\u043B\u044F\u0435\u0442\u0441\u044F \u043D\u0430 \u0431\u043E\u043B\u044C\u0448\u043E\u0435 \u043A\u043E\u043B\u0438\u0447\u0435\u0441\u0442\u0432\u043E \u043E\u0434\u0438\u043D\u0430\u043A\u043E\u0432\u044B\u0445 \u044D\u043B\u0435\u043C\u0435\u043D\u0442\u0430\u0440\u043D\u044B\u0445 \u0437\u0430\u0434\u0430\u043D\u0438\u0439, \u0432\u044B\u043F\u043E\u043B\u043D\u0438\u043C\u044B\u0445 \u043D\u0430 \u0443\u0437\u043B\u0430\u0445 \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u0430 \u0438 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u043C \u043E\u0431\u0440\u0430\u0437\u043E\u043C \u0441\u0432\u043E\u0434\u0438\u043C\u044B\u0445 \u0432 \u043A\u043E\u043D\u0435\u0447\u043D\u044B\u0439 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442. \u041F\u043E \u0441\u043E\u0441\u0442\u043E\u044F\u043D\u0438\u044E \u043D\u0430 2014 \u0433\u043E\u0434 \u043F\u0440\u043E\u0435\u043A\u0442 \u0441\u043E\u0441\u0442\u043E\u0438\u0442 \u0438\u0437 \u0447\u0435\u0442\u044B\u0440\u0451\u0445 \u043C\u043E\u0434\u0443\u043B\u0435\u0439 \u2014 Hadoop Common (\u0441\u0432\u044F\u0437\u0443\u044E\u0449\u0435\u0435 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u043D\u043E\u0435 \u043E\u0431\u0435\u0441\u043F\u0435\u0447\u0435\u043D\u0438\u0435 \u2014 \u043D\u0430\u0431\u043E\u0440 \u0438\u043D\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043A\u0442\u0443\u0440\u043D\u044B\u0445 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u043D\u044B\u0445 \u0431\u0438\u0431\u043B\u0438\u043E\u0442\u0435\u043A \u0438 \u0443\u0442\u0438\u043B\u0438\u0442, \u0438\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0435\u043C\u044B\u0445 \u0434\u043B\u044F \u0434\u0440\u0443\u0433\u0438\u0445 \u043C\u043E\u0434\u0443\u043B\u0435\u0439 \u0438 \u0440\u043E\u0434\u0441\u0442\u0432\u0435\u043D\u043D\u044B\u0445 \u043F\u0440\u043E\u0435\u043A\u0442\u043E\u0432), HDFS (\u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0451\u043D\u043D\u0430\u044F \u0444\u0430\u0439\u043B\u043E\u0432\u0430\u044F \u0441\u0438\u0441\u0442\u0435\u043C\u0430), YARN (\u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0434\u043B\u044F \u043F\u043B\u0430\u043D\u0438\u0440\u043E\u0432\u0430\u043D\u0438\u044F \u0437\u0430\u0434\u0430\u043D\u0438\u0439 \u0438 \u0443\u043F\u0440\u0430\u0432\u043B\u0435\u043D\u0438\u044F \u043A\u043B\u0430\u0441\u0442\u0435\u0440\u043E\u043C) \u0438 Hadoop MapReduce (\u043F\u043B\u0430\u0442\u0444\u043E\u0440\u043C\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u0438\u0440\u043E\u0432\u0430\u043D\u0438\u044F \u0438 \u0432\u044B\u043F\u043E\u043B\u043D\u0435\u043D\u0438\u044F \u0440\u0430\u0441\u043F\u0440\u0435\u0434\u0435\u043B\u0451\u043D\u043D\u044B\u0445 MapReduce-\u0432\u044B\u0447\u0438\u0441\u043B\u0435\u043D\u0438\u0439), \u0440\u0430\u043D\u0435\u0435 \u0432 Hadoop \u0432\u0445\u043E\u0434\u0438\u043B \u0446\u0435\u043B\u044B\u0439 \u0440\u044F\u0434 \u0434\u0440\u0443\u0433\u0438\u0445 \u043F\u0440\u043E\u0435\u043A\u0442\u043E\u0432, \u0441\u0442\u0430\u0432\u0448\u0438\u0445 \u0441\u0430\u043C\u043E\u0441\u0442\u043E\u044F\u0442\u0435\u043B\u044C\u043D\u044B\u043C\u0438 \u0432 \u0440\u0430\u043C\u043A\u0430\u0445 \u0441\u0438\u0441\u0442\u0435\u043C\u044B \u043F\u0440\u043E\u0435\u043A\u0442\u043E\u0432 Apache Software Foundation. \u0421\u0447\u0438\u0442\u0430\u0435\u0442\u0441\u044F \u043E\u0434\u043D\u043E\u0439 \u0438\u0437 \u043E\u0441\u043D\u043E\u0432\u043E\u043F\u043E\u043B\u0430\u0433\u0430\u044E\u0449\u0438\u0445 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0439 \u00AB\u0431\u043E\u043B\u044C\u0448\u0438\u0445 \u0434\u0430\u043D\u043D\u044B\u0445\u00BB. \u0412\u043E\u043A\u0440\u0443\u0433 Hadoop \u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043B\u0430\u0441\u044C \u0446\u0435\u043B\u0430\u044F \u044D\u043A\u043E\u0441\u0438\u0441\u0442\u0435\u043C\u0430 \u0438\u0437 \u0441\u0432\u044F\u0437\u0430\u043D\u043D\u044B\u0445 \u043F\u0440\u043E\u0435\u043A\u0442\u043E\u0432 \u0438 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0439, \u043C\u043D\u043E\u0433\u0438\u0435 \u0438\u0437 \u043A\u043E\u0442\u043E\u0440\u044B\u0445 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u043B\u0438\u0441\u044C \u0438\u0437\u043D\u0430\u0447\u0430\u043B\u044C\u043D\u043E \u0432 \u0440\u0430\u043C\u043A\u0430\u0445 \u043F\u0440\u043E\u0435\u043A\u0442\u0430, \u0430 \u0432\u043F\u043E\u0441\u043B\u0435\u0434\u0441\u0442\u0432\u0438\u0438 \u0441\u0442\u0430\u043B\u0438 \u0441\u0430\u043C\u043E\u0441\u0442\u043E\u044F\u0442\u0435\u043B\u044C\u043D\u044B\u043C\u0438. \u0421\u043E \u0432\u0442\u043E\u0440\u043E\u0439 \u043F\u043E\u043B\u043E\u0432\u0438\u043D\u044B 2000-\u0445 \u0433\u043E\u0434\u043E\u0432 \u0438\u0434\u0451\u0442 \u043F\u0440\u043E\u0446\u0435\u0441\u0441 \u0430\u043A\u0442\u0438\u0432\u043D\u043E\u0439 \u043A\u043E\u043C\u043C\u0435\u0440\u0446\u0438\u0430\u043B\u0438\u0437\u0430\u0446\u0438\u0438 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0438, \u043D\u0435\u0441\u043A\u043E\u043B\u044C\u043A\u043E \u043A\u043E\u043C\u043F\u0430\u043D\u0438\u0439 \u0441\u0442\u0440\u043E\u044F\u0442 \u0431\u0438\u0437\u043D\u0435\u0441 \u0446\u0435\u043B\u0438\u043A\u043E\u043C \u043D\u0430 \u0441\u043E\u0437\u0434\u0430\u043D\u0438\u0438 \u043A\u043E\u043C\u043C\u0435\u0440\u0447\u0435\u0441\u043A\u0438\u0445 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u043E\u0432 Hadoop \u0438 \u0443\u0441\u043B\u0443\u0433 \u043F\u043E \u0442\u0435\u0445\u043D\u0438\u0447\u0435\u0441\u043A\u043E\u0439 \u043F\u043E\u0434\u0434\u0435\u0440\u0436\u043A\u0435 \u044D\u043A\u043E\u0441\u0438\u0441\u0442\u0435\u043C\u044B, \u0430 \u043F\u0440\u0430\u043A\u0442\u0438\u0447\u0435\u0441\u043A\u0438 \u0432\u0441\u0435 \u043A\u0440\u0443\u043F\u043D\u044B\u0435 \u043F\u043E\u0441\u0442\u0430\u0432\u0449\u0438\u043A\u0438 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u044B\u0445 \u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0439 \u0434\u043B\u044F \u043E\u0440\u0433\u0430\u043D\u0438\u0437\u0430\u0446\u0438\u0439 \u0432 \u0442\u043E\u043C \u0438\u043B\u0438 \u0438\u043D\u043E\u043C \u0432\u0438\u0434\u0435 \u0432\u043A\u043B\u044E\u0447\u0430\u044E\u0442 Hadoop \u0432 \u043F\u0440\u043E\u0434\u0443\u043A\u0442\u043E\u0432\u044B\u0435 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0438 \u0438 \u043B\u0438\u043D\u0435\u0439\u043A\u0438 \u0440\u0435\u0448\u0435\u043D\u0438\u0439."@ru . . . "Apache Hadoop\u306F\u5927\u898F\u6A21\u30C7\u30FC\u30BF\u306E\u5206\u6563\u51E6\u7406\u3092\u652F\u3048\u308B\u30AA\u30FC\u30D7\u30F3\u30BD\u30FC\u30B9\u306E\u30BD\u30D5\u30C8\u30A6\u30A7\u30A2\u30D5\u30EC\u30FC\u30E0\u30EF\u30FC\u30AF\u3067\u3042\u308A\u3001Java\u3067\u66F8\u304B\u308C\u3066\u3044\u308B\u3002Hadoop\u306F\u30A2\u30D7\u30EA\u30B1\u30FC\u30B7\u30E7\u30F3\u304C\u6570\u5343\u30CE\u30FC\u30C9\u304A\u3088\u3073\u30DA\u30BF\u30D0\u30A4\u30C8\u7D1A\u306E\u30C7\u30FC\u30BF\u3092\u51E6\u7406\u3059\u308B\u3053\u3068\u3092\u53EF\u80FD\u3068\u3057\u3066\u3044\u308B\u3002Hadoop\u306FGoogle\u306EMapReduce\u304A\u3088\u3073Google File System(GFS)\u8AD6\u6587\u306B\u89E6\u767A\u3055\u308C\u305F\u3082\u306E\u3067\u3042\u308B\u3002 Hadoop\u306FApache\u306E\u30C8\u30C3\u30D7\u30EC\u30D9\u30EB\u30D7\u30ED\u30B8\u30A7\u30AF\u30C8\u306E1\u3064\u3067\u3042\u308A\u3001\u4E16\u754C\u898F\u6A21\u306E\u958B\u767A\u8CA2\u732E\u8005\u30B3\u30DF\u30E5\u30CB\u30C6\u30A3\u306B\u3088\u3063\u3066\u958B\u767A\u3055\u308C\u3001\u4F7F\u7528\u3055\u308C\u3066\u3044\u308B\u3002"@ja .