<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Tue, 21 Apr 2026 15:29:01 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/hadoop/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Paralléliser le code avec Spark !]]></title><description><![CDATA[Introduction Nous allons expérimenter le modèle de parallélisme via le logiciel Spark, ainsi qu'Hadoop pour gérer les machines. Pour exploiter notre installation, nous avons choisis de programmer en Python]]></description><link>http://direct.ecency.com/hive-114606/@loumeni/paralleliser-le-code-avec-spark-</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@loumeni/paralleliser-le-code-avec-spark-</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[loumeni]]></dc:creator><pubDate>Fri, 19 Dec 2025 15:13:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/26uUsAjKTsXCDw7zixZR182JbFKvgzJ9YwsFpTVcRaGCmsqhA1unTgpqu735m9iorToNNSNrP38PeJwfij7Ad6CN7B2hK4DNHoHmVzuE77Wm9REKSevSnNwdniunmskv1wa5nuGL6ZmYXyBeaeUNo5aypvHaWxeYihtpo8?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Apache Spark : le moteur de calcul distribué qui révolutionne le Big Data]]></title><description><![CDATA[Salut la communauté 👋 De nos jours, la quantité de données dans le monde ne fait que devenir plus gigantesque que ce qu’elle était déjà. Et pendant longtemps, on a souffert de moteurs lents, rigides et]]></description><link>http://direct.ecency.com/hive-114606/@ynra/apache-spark--le-moteur-de-calcul-distribue-qui-revolutionne-le-big-data</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@ynra/apache-spark--le-moteur-de-calcul-distribue-qui-revolutionne-le-big-data</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[ynra]]></dc:creator><pubDate>Mon, 08 Dec 2025 20:55:12 GMT</pubDate></item><item><title><![CDATA[Hadoop MapReduce, ou comment traiter des pétaoctets de données]]></title><description><![CDATA[Bonjour à toutes et à tous ! Aujourd’hui @darkos2535 et moi allons vous présenter Hadoop MapReduce, un framework permettant de développer des applications distribuées, que nous avons pu étudier dans le]]></description><link>http://direct.ecency.com/hive-114606/@coraye/hadoop-mapreduce-ou-comment-traiter-des-petaoctets-de-donnees</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@coraye/hadoop-mapreduce-ou-comment-traiter-des-petaoctets-de-donnees</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[coraye]]></dc:creator><pubDate>Mon, 08 Dec 2025 10:36:27 GMT</pubDate></item><item><title><![CDATA[Mise en place et experimentation de Spark]]></title><description><![CDATA[Aujourd'hui, nous nous attaquons à un morceau conséquent de la programmation parallèle et distribuée, et nous vous proposons ce tutoriel pour comprendre l'implémentation de Spark en local et dans un cluster]]></description><link>http://direct.ecency.com/hive-114606/@boutvalentin/mise-en-place-et-experimentation-de-spark</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@boutvalentin/mise-en-place-et-experimentation-de-spark</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[boutvalentin]]></dc:creator><pubDate>Sun, 17 Dec 2023 10:58:33 GMT</pubDate><enclosure url="https://images.ecency.com/p/24rqX9pG7ZxY69usoEjVNbF8j2tsQA9yVopGqb2LyxyKWKnJgVAj8qN1dz4JBur2txiQKhKqd5tiffqGuaZRqHw6XaEQ5A8cNHHbxoXQBMtduU2Qq1K5zibRAQeAQvQBVUzw3SFxwSgbfdeakfQ5Jux5nUKnic5E92V3FiFq7VpM9bGfJ2RGnmjy1AStJinPe4YxXvSsT88wLbbRicMXCLz5DfXGqr?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hadoop MapReduce : Un Aperçu Concis]]></title><description><![CDATA[Hadoop MapReduce Introduction Hadoop, un framework open source au sein de la fondation Apache, facilite le traitement distribué de données massives à travers des nœuds répartis sur plusieurs machines.]]></description><link>http://direct.ecency.com/hive-114606/@lhamza/hadoop-mapreduce--un-apercu-concis</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@lhamza/hadoop-mapreduce--un-apercu-concis</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[lhamza]]></dc:creator><pubDate>Tue, 28 Nov 2023 16:34:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/FUkUE5bzkAZT3HzV5tJDiU2ik81PCd4JCyhWnRcDN8XJsVFY3UNB8DCXpUnFnLnvHwccGjwYpsmRy9wbVYWbTQn5xRVRnv4ZZVm3iZs2MYAmn3p8KBPByq5bmn2S4NCu84rr1Mvyv1nWXLaiGgrvLByNQk9qQfpLhQV4?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hadoop MapReduce]]></title><description><![CDATA[Un des défis aujourd'hui est de pouvoir traiter des données de plus en plus volumineuses de manière rapide et efficace sans pour autant perdre de l'information. La stratégie est de distribuer le stockage]]></description><link>http://direct.ecency.com/hive-114606/@blackerzx/hadoop-mapreduce</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@blackerzx/hadoop-mapreduce</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[blackerzx]]></dc:creator><pubDate>Tue, 29 Nov 2022 18:40:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/6VvuHGsoU2QCJ7dtfeSKgXCz5SiYmYUsXqdq5ZazSw6XrbRGH4nhNQgtsfi6QaWYmRpP27SP7B9btWDchmH1DksSYbfFP8HEEjK6VipThqDkreykZkYhx9CitS8UQW?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Présentation de Spark]]></title><description><![CDATA[(Présentation de Spark en collaboration avec @elimatheli) Spark est un framework de calcul distribué open-source utilisant des composants et une architecture définie. Spark permet de travailler sur l'ensemble]]></description><link>http://direct.ecency.com/hive-114606/@ofreo/presentation-de-spark</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@ofreo/presentation-de-spark</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[ofreo]]></dc:creator><pubDate>Mon, 28 Nov 2022 11:39:06 GMT</pubDate><enclosure url="https://images.ecency.com/p/hgjbks2vRxviDZhXWpwNZKj8SZSEyzYZHrSFCZWQhvHfT96kV8pssARXSHjJ5iKDrT9Umwsxg2KMfdqHda8jxm5DqQ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Manipulation des données du Covid19 avec Spark & Hadoop]]></title><description><![CDATA[Dans le cadre de notre cours de Programmation Parallèle Distribuée, nous devions mettre en œuvre un système de calcul distribué grâce à Hadoop et Spark. En collaboration avec @michelignax et @mm2cc nous]]></description><link>http://direct.ecency.com/hive-114606/@pranwez/manipulation-des-donnees-du-covid19-avec-spark-and-hadoop</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@pranwez/manipulation-des-donnees-du-covid19-avec-spark-and-hadoop</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[pranwez]]></dc:creator><pubDate>Fri, 17 Dec 2021 17:16:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/4HFqJv9qRjVecs4xkhd5EvhidWEEBnn9tCVDBkBhQpUFvab78MhbU1VuRN9jyLmSfGSYf8uEXhvYFr4A4Tn9KKqaSUf41exXXrLSTMbw1m37YTQLHgiiCczhbDGwQSgLzQ8Kki9MtwPYjJCaXEFkPjGSJoVQPu8N4DC?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hadoop &  Spark ]]></title><description><![CDATA[Ressource Notre support de présentation Hadoop & Spark]]></description><link>http://direct.ecency.com/hive-114606/@rkcrew/hadoop-and-spark-r3qigz</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@rkcrew/hadoop-and-spark-r3qigz</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[rkcrew]]></dc:creator><pubDate>Tue, 07 Dec 2021 07:36:33 GMT</pubDate><enclosure url="https://images.ecency.com/p/FUkUE5bzkAZT3HzV5tJDiU2ik81PCd4JCyhWnRcDN8XJsVFY3UNB8DCbcrYcd8xvaJzeJsyGiRFYYW3SmBj7CnBz4mzBNspLgwqpuNgPoTxJ2zeH4r9z4zvrmEvA3vP7SiNtBKvxXpHSEuuo9WZq2gjiawDJXPyDv718?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hadoop MapReduce]]></title><description><![CDATA[Hadoop MapReduce La méthode de programmation map reduce de hadoop est une méthode qui permet de synthétiser des données via 2 méthodes principales : Map et Reduce. Au départ, les données se retrouvent]]></description><link>http://direct.ecency.com/hive-114606/@pmichiels/hadoop-mapreduce</link><guid isPermaLink="true">http://direct.ecency.com/hive-114606/@pmichiels/hadoop-mapreduce</guid><category><![CDATA[hive-114606]]></category><dc:creator><![CDATA[pmichiels]]></dc:creator><pubDate>Wed, 01 Dec 2021 17:27:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/NTy4GV6ooFRmaCXZ8UYgPhoud1kjiNX8QokLEZtbBKLuLWQ9yt7K3o4S7i8uESE4Eq8yar6KgxK77HnCJnYEu1JVimp5X2AbW7M3d1YEykwQPQKKyjSq3nfw8GM1vrk4o3qAQyTbHnkQ3PoM8pLBipUw63ua8QWdMBh4fQsx?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Git workflow with remote branch and fork...]]></title><description><![CDATA[Developers work differently with git. Some prefer to work directly off the main repo and create their own branch, merge it with master after committing the work. On the other hand, there are professionals]]></description><link>http://direct.ecency.com/git/@rajib2k5/git-workflow-with-remote-branch-and-fork</link><guid isPermaLink="true">http://direct.ecency.com/git/@rajib2k5/git-workflow-with-remote-branch-and-fork</guid><category><![CDATA[git]]></category><dc:creator><![CDATA[rajib2k5]]></dc:creator><pubDate>Sat, 01 Aug 2020 08:39:06 GMT</pubDate></item><item><title><![CDATA[Apa itu Apache Hive?]]></title><description><![CDATA[Hello Friend Hivean Meet again with Fhutri Nur Risqa @creative1234 Apache Hive adalah sistem data warehouse untuk peringkasan dan analisis data dan untuk query sistem data besar dalam platform Hadoop]]></description><link>http://direct.ecency.com/hive-114929/@creative1234/apa-itu-apache-hive</link><guid isPermaLink="true">http://direct.ecency.com/hive-114929/@creative1234/apa-itu-apache-hive</guid><category><![CDATA[hive-114929]]></category><dc:creator><![CDATA[creative1234]]></dc:creator><pubDate>Sat, 16 May 2020 21:25:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/5bEGgqZEHBMe6s3wiPgGFTi3naqHERgdwJew6rJYRaB3RR7sSAdZKnpKGW6DKKKahJNfqpMEi1jrWJPKc14PWzPUjWYVwuFU?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Another Big Data Firm Moves to Open Source]]></title><description><![CDATA[In yet another example of Open Source winning everywhere these days, Cloudera, an enterprise/ big data firm moves to open source its offerings. In an effort to regain positive financial flow, Cloudera]]></description><link>http://direct.ecency.com/apache/@diggndeeper.com/anotherbigdatafirmmovestoopensource-svr6qabn12</link><guid isPermaLink="true">http://direct.ecency.com/apache/@diggndeeper.com/anotherbigdatafirmmovestoopensource-svr6qabn12</guid><category><![CDATA[apache]]></category><dc:creator><![CDATA[diggndeeper.com]]></dc:creator><pubDate>Wed, 17 Jul 2019 10:34:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/MG5aEqKFcQiABKxZ7eY2ApT6EjYMGHTdPpfuGbKjDHvnKXe8EEc7CsaJmpWs3DA4qxcz1TC1fexiSHkY81isBJZszyooTgfci?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Hadoop: Past, present and future]]></title><description><![CDATA[Take a trip in the wayback machine to the land before big data. - Jens Graupmann Evolving along with the technology, Hadoop has moved from commodity hardware to cloud, creating a niche for itself by catering]]></description><link>http://direct.ecency.com/dlike/@data.plus/hadoop-past-present-and-future-</link><guid isPermaLink="true">http://direct.ecency.com/dlike/@data.plus/hadoop-past-present-and-future-</guid><category><![CDATA[dlike]]></category><dc:creator><![CDATA[data.plus]]></dc:creator><pubDate>Fri, 21 Jun 2019 03:41:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/cyxkEVqiiLy7UPzTQHGUxrSbWXFMuSDiCrg2jXYZkuezsUdGkiqyCn9coBecCGJs9GqunXG6z2rL1GZzmyPZUbUS7BMR6v8fdQML1H3vyxNVozft7V3zrzTmwDijzUHUiKx?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Data Lake & Hadoop : How can they power your Analytics?]]></title><description><![CDATA[How can a combination of Data Lake and Hadoop power Analytics? Powering analytics through a data lake and Hadoop is one of the most effective ways to increase ROI. It’s also an effective way to ensure]]></description><link>http://direct.ecency.com/hadoop/@cuelogictech/data-lake-and-hadoop-how-can-they-power-your-analytics</link><guid isPermaLink="true">http://direct.ecency.com/hadoop/@cuelogictech/data-lake-and-hadoop-how-can-they-power-your-analytics</guid><category><![CDATA[hadoop]]></category><dc:creator><![CDATA[cuelogictech]]></dc:creator><pubDate>Thu, 02 May 2019 07:39:54 GMT</pubDate><enclosure url="https://images.ecency.com/p/3DLAmCsuTe3a596R1qBp8hSBrTgbjQxsGiGkgNWMN51C4QiMEgiW9Yx1iQXSBPpd9L26YkWpxMNXcQ4g7JAnQXYaGYKhUMLaTnxoJS5o3u5dQfoXpxv5fMtNDTMvpN1QzuG32ksgm3kerqzhLwbT13mGWk5E8aA?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Apache Hadoop - Open-source software for distributed computing]]></title><description><![CDATA[Apache Hadoop Open-source software for distributed computing Screenshots View Image Hunter's comment Lets say you have to analyse or process huge amount of data , how will you do it ? How many processing]]></description><link>http://direct.ecency.com/steemhunt/@amr008/hadoop-open-source-software-for-distributed-computing</link><guid isPermaLink="true">http://direct.ecency.com/steemhunt/@amr008/hadoop-open-source-software-for-distributed-computing</guid><category><![CDATA[steemhunt]]></category><dc:creator><![CDATA[amr008]]></dc:creator><pubDate>Sat, 23 Feb 2019 03:57:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/6VvuHGsoU2QD1XBD4Sfqi8crWbZ2eFe7Q4CvbR2t63B3tq53oux1tPinMkjUSnrRxTjUgdjC3NbDbdWLdmV5BHEVgrmXhsFNq3LQ6g7xwA5DRUdepHTJhopiRtXstr?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Modèles de programmation pour le « Big Data »]]></title><description><![CDATA[Qu'est-ce que le Big Data: Big Data est un terme utilisé pour parler de larges ensembles de données trop grand ou complexe pour les traiter de façon logicielle classique. Des données avec beaucoup de lignes]]></description><link>http://direct.ecency.com/hadoop/@thomascampistron/modeles-de-programmation-pour-le-big-data</link><guid isPermaLink="true">http://direct.ecency.com/hadoop/@thomascampistron/modeles-de-programmation-pour-le-big-data</guid><category><![CDATA[hadoop]]></category><dc:creator><![CDATA[thomascampistron]]></dc:creator><pubDate>Mon, 28 Jan 2019 14:22:45 GMT</pubDate></item><item><title><![CDATA[Hadoop Starter Kit]]></title><description><![CDATA[Hadoop learning made easy and fun. Learn HDFS, MapReduce, and introduction to Pig and Hive with FREE cluster access. Understand the Big Data problem in terms of storage and computation. How Hadoop approach]]></description><link>http://direct.ecency.com/free/@mindchowclub/hadoop-starter-kit</link><guid isPermaLink="true">http://direct.ecency.com/free/@mindchowclub/hadoop-starter-kit</guid><category><![CDATA[free]]></category><dc:creator><![CDATA[mindchowclub]]></dc:creator><pubDate>Mon, 01 Oct 2018 08:40:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/qjrE4yyfw5pJ4XNPDVgyXsPyUgzzUf9DvKNrGKwGZssnNcE2HezXkeAiuQUV3LZa9qSgckJ3qAiMdsXnueCpgWLG4br5kv2keeqyW4S1CdRekqUm6Cte7JG8?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Top trending IT classes for your career growth]]></title><description><![CDATA[Without a doubt, the demands for IT professionals are growing day by day. If you want to kickstart your IT career in this competitive and high-paying IT job market, then learn the most trending IT skills]]></description><link>http://direct.ecency.com/machinelearning/@albertbruno/top-trending-it-classes-for-your-career-growth</link><guid isPermaLink="true">http://direct.ecency.com/machinelearning/@albertbruno/top-trending-it-classes-for-your-career-growth</guid><category><![CDATA[machinelearning]]></category><dc:creator><![CDATA[albertbruno]]></dc:creator><pubDate>Sat, 28 Jul 2018 03:49:30 GMT</pubDate><enclosure url="https://images.ecency.com/p/RGgukq5E6HBM2jscGd4Sszpv94XxHH2uqxMY9z21vaqHt4gYdbJ22TwdDKABh1KkSxrX3kECA2PH2SMpiyBdoFsFr5c7zeb1SosXbhQ93kMP3gnZyLREcnNCJ7kqwvW?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Файловая система DxChain]]></title><description><![CDATA[DxChain – перспективный проект, который позиционируется как платформа для обработки BigData, AI, создания DApps и торговлей данными. Важными аспектами подобных проектов являются файловая система и технологии,]]></description><link>http://direct.ecency.com/dxchain/@halkalex/failovaya-sistema-dxchain</link><guid isPermaLink="true">http://direct.ecency.com/dxchain/@halkalex/failovaya-sistema-dxchain</guid><category><![CDATA[dxchain]]></category><dc:creator><![CDATA[halkalex]]></dc:creator><pubDate>Fri, 27 Jul 2018 21:45:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iQMo8jKkukAbPSqQRr2W5APuTE7GwasNC4rJWoE8qeQHRu6QCh7WAD6W48ooDD9EjqdnbVDP9ok?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>