{"id":253,"date":"2017-07-14T11:45:32","date_gmt":"2017-07-14T06:15:32","guid":{"rendered":"http:\/\/www.concettolabs.com\/blog\/?p=253"},"modified":"2017-07-14T11:45:32","modified_gmt":"2017-07-14T06:15:32","slug":"mongo-db-hadoop-power-two","status":"publish","type":"post","link":"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/","title":{"rendered":"Mongo Db And Hadoop: The Power Of Two"},"content":{"rendered":"<h2><span class=\"ez-toc-section\" id=\"MONGO_DB\"><\/span>MONGO DB<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Mongo DB classified as under NoSQL database refers to an open-source cross-platform document database. It makes the integration of data easier and faster. This free software is used for backend by several multinational giants like eBay, New York Times, Viacom, and many more. It is one of the most famous NoSQL database systems.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-254\" title=\"MONGO DB\" src=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/mongodb-1024x551.jpeg\" alt=\"mongo db\" width=\"806\" height=\"433\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"HADOOP\"><\/span>HADOOP<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Hadoop is the name given to the software technology created for storage and processing a plethora of data spread across commodity servers and commodity storage. Often Hadoop is considered to be the synonym of Enterprise Data Warehouse because of its growing application across industries to handle a large volume of data.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"i\"><\/span>\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-255 size-full\" title=\"HADOOP\" src=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/What-is-Hadoop-1.jpg\" alt=\"HADOOP\" width=\"894\" height=\"335\" srcset=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/What-is-Hadoop-1.jpg 894w, https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/What-is-Hadoop-1-300x112.jpg 300w, https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/What-is-Hadoop-1-768x288.jpg 768w\" sizes=\"auto, (max-width: 894px) 100vw, 894px\" \/><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h2><span class=\"ez-toc-section\" id=\"THE_POWER_OF_TWO_Hadoop_and_Mongo_DB\"><\/span>THE POWER OF TWO: Hadoop and Mongo DB<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When the power of Hadoop and MongoDB is clubbed it results in the big data application success.<\/p>\n<ul>\n<li>Hadoop creates the analytics model for the operational process and <a href=\"https:\/\/www.mongodb.com\/\" target=\"_blank\" rel=\"nofollow\"><span style=\"text-decoration: underline;\"><strong>Mongo DB<\/strong><\/span><\/a> fuels the online and real-time operational applications targeting business processes and end-users.<\/li>\n<li>Data is consumed by Hadoop from Mongo DB, to blend it with data received from different sources to come up with machine learning models and sophisticated analytics. The achieved results are directed back to MongoDB.<\/li>\n<li>Here are a few examples of the combined usage of two by the corporate:<\/li>\n<li>Mongo DB and Hadoop work together to create the base to bring into action the big data, to improvise the customer service, support up-sell and cross-sell or reduce the level of risk which otherwise hampers the efficiency of the business.<\/li>\n<li>Here is a diagrammatic representation of MongoDB integration with Data Lake.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"MONGO_DB_CONNECTOR_FOR_HADOOP\"><\/span>MONGO DB CONNECTOR FOR HADOOP<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The sole purpose of MongoDB Connector for Hadoop is to ensure a high level of flexibility and a good level of performance and finally ease the integration of MongoDB with Hadoop ecosystem and Pig, Spark, Map Reduce, Hadoop Streaming, Hive plus Flume.<\/p>\n<p><strong>ITS MAIN FEATURES:<\/strong><\/p>\n<ul>\n<li>Creation of data splits to read from replica set configuration, standalone configuration, or shared configuration.<\/li>\n<li>Use of MongoDB query language to filter the queries from source data.<\/li>\n<li>Hadoop streaming support, to provide the freedom of writing in any language like python, ruby, etc.<\/li>\n<li>Data from Mongo DB backup files can be read.<\/li>\n<li>Data can be written in .bson format and be later imported to Mongo DB database with the assistance of Mongorestore<\/li>\n<li>Mongo DB connector for Hadoop works with Mongo DB or BSON documents.<\/li>\n<\/ul>\n<p><strong>DOWNLOAD:<\/strong><\/p>\n<p>It can be downloaded through Maven or Gradle<\/p>\n<p>MAVEN<\/p>\n<p>GRADLE<\/p>\n<ul>\n<li><strong>To use Hadoop connector one needs compatibility with the following versions:<\/strong><\/li>\n<\/ul>\n<ol>\n<li><em>Hadoop 1.X<\/em>: 1.2<\/li>\n<li><em>Hadoop 2.X<\/em>: 2.4<\/li>\n<li><em>Hive<\/em>: 1.1<\/li>\n<li><em>Pig<\/em>: 0.11<\/li>\n<li><em>Spark<\/em>: 1.4<\/li>\n<li><em>MongoDB<\/em>: 2.2<\/li>\n<\/ol>\n<p><strong>INSTALLATION:<\/strong><\/p>\n<ol>\n<li>Obtain Hadoop connector<\/li>\n<li>Obtain the JAR for MongoDB Java Driver<\/li>\n<li>Move each JAR to each of the Hadoop clusters. Make use of Hadoop Distribute Cache to direct the JARS to predefined nodes.<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"Concetto_Labs_can_help_create_MONGO_DB_AND_HADOOP_Development\"><\/span>Concetto Labs can help create MONGO DB AND HADOOP Development<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-256 size-full\" title=\"MONGO DB AND HADOOP\" src=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/hadoop_vs_mongodb.jpg\" alt=\"MONGO DB AND HADOOP\" width=\"600\" height=\"439\" srcset=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/hadoop_vs_mongodb.jpg 600w, https:\/\/websitelaravel.concettoprojects.com\/blog\/wp-content\/uploads\/2017\/07\/hadoop_vs_mongodb-300x220.jpg 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/p>\n<p><a href=\"https:\/\/www.concettolabs.com\/\" target=\"_blank\" rel=\"nofollow\"><strong><span style=\"text-decoration: underline;\">Concetto Labs<\/span><\/strong><\/a> is the reputed\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.concettolabs.com\/hire-mongodb-developer\" target=\"_blank\" rel=\"nofollow\"><strong>MongoDB <\/strong><\/a><\/span>and<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.concettolabs.com\/hire-hadoop-developer\" target=\"_blank\" rel=\"nofollow\"><strong> Hadoop big data development company India<\/strong><\/a><\/span><b>.<\/b>\u00a0They can assist you to explore more about this mobile application development platform and related technology.<\/p>\n<style>\n.blog-block-1{background:url(https:\/\/www.concettolabs.com\/blog\/wp-content\/uploads\/2020\/08\/app-development.png);background-position: center;background-repeat: no-repeat;background-size: cover;width:100%;margin: 0 auto;padding: 20px 60px 80px;text-align: center; }<br \/>\n.blog-block-1 h3{font-size: 40px;color: #fff;line-height: 60px;text-align:center;}<br \/>\n.blog-block-1 p{color: #fff;font-size: 20px;}<br \/>\na.blog-btn-1{padding:10px 30px;background: #fbbf13;color: #fff!important;font-size: 18px;border: 0;cursor: pointer; text-align:center}<br \/>\n.blog-block-1 p{text-align:center;color:#fff!important;}<br \/>\n<\/style>\n<p>&nbsp;<\/p>\n<div class=\"blog-block-1\">\n<h3><span class=\"ez-toc-section\" id=\"Concetto_Labs_is_the_reputed_MongoDB_and_Hadoop_big_data_development_company\"><\/span>Concetto Labs is the reputed<br \/>\nMongoDB and Hadoop big data development company<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a class=\"blog-btn-1\" href=\"https:\/\/www.concettolabs.com\/hire-hadoop-developer\" target=\"_blank\" rel=\"nofollow\">HIRE HADOOP DEVELOPERS<\/a><\/p>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_71 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#MONGO_DB\" title=\"MONGO DB\">MONGO DB<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#HADOOP\" title=\"HADOOP\">HADOOP<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#i\" title=\"\u00a0\">\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#THE_POWER_OF_TWO_Hadoop_and_Mongo_DB\" title=\"THE POWER OF TWO: Hadoop and Mongo DB\">THE POWER OF TWO: Hadoop and Mongo DB<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#MONGO_DB_CONNECTOR_FOR_HADOOP\" title=\"MONGO DB CONNECTOR FOR HADOOP\">MONGO DB CONNECTOR FOR HADOOP<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#Concetto_Labs_can_help_create_MONGO_DB_AND_HADOOP_Development\" title=\"Concetto Labs can help create MONGO DB AND HADOOP Development\">Concetto Labs can help create MONGO DB AND HADOOP Development<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/websitelaravel.concettoprojects.com\/blog\/mongo-db-hadoop-power-two\/#Concetto_Labs_is_the_reputed_MongoDB_and_Hadoop_big_data_development_company\" title=\"Concetto Labs is the reputed \nMongoDB and Hadoop big data development company\">Concetto Labs is the reputed \nMongoDB and Hadoop big data development company<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n","protected":false},"excerpt":{"rendered":"<p>MONGO DB Mongo DB classified as under NoSQL database refers to an open-source cross-platform document database. It makes the integration of data easier and faster. This free software is used for backend by several multinational giants like eBay, New York Times, Viacom, and many more. It is one of the most famous NoSQL database systems. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":257,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[146],"tags":[140,141,142,143,144,145],"class_list":["post-253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-web-development","tag-apache-hadoop","tag-hadoop","tag-hadoop-big-data","tag-mongodb","tag-mongodb-hadoop","tag-mongodb-vs-hadoop"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Mongo DB and Hadoop Big Data: The Power of Two | Concetto Labs<\/title>\n<meta name=\"description\" content=\"Mongo DB classified as under NoSQL database refers to an open source cross platform document database. 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