Hadoop Distributed File System(HDFS)<\/h2>\n<\/div>\n<\/div>\n

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• HDFS is a highly fault tolerant, distributed, reliable, scalable file system for data storage.<\/li>\n
• HDFS stores multiple copies of data on different nodes; a file is split up into blocks (Default 64 MB) and stored across multiple machines.<\/li>\n
• Hadoop cluster typically has a single namenode and number of datanodes to form the HDFS cluster.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
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  Map-Reduce<\/h2>\n<\/div>\n<\/div>\n

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  • Map-Reduce is a programming model designed for processing large volumes of data in parallel by dividing the work into a set of independent tasks.<\/li>\n
  • It is also a paradigm for distributed processing of large data set over a cluster of nodes.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    Answer : Big data analytics is the process of examining large data…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"passster_activate_protection":false,"passster_protect_child_pages":"","passster_protection_type":"password","passster_password":"","passster_activate_overwrite_defaults":"","passster_headline":"","passster_instruction":"","passster_placeholder":"","passster_button":"","passster_id":"","passster_activate_misc_settings":"","passster_redirect_url":"","passster_hide":"no","passster_area_shortcode":"","gtb_hide_title":false,"gtb_wrap_title":false,"gtb_class_title":"","gtb_remove_headerfooter":false,"footnotes":""},"categories":[1065],"tags":[195,1119,360,1041,1168,1170,1175,1179,1174,1034,203,199,214,1120,205,1173,948,947,485,222,484,1171,1172,1169,1176,1177,1178,196,212,286,970,366,288,367,206,975,200,974,197,280,364,1031,1167,968,216,285,1121],"class_list":["post-269","post","type-post","status-publish","format-standard","hentry","category-big-data","tag-accenture-interview-questions-and-answers","tag-att-interview-questions-and-answers","tag-atos-interview-questions-and-answers","tag-big-data-analytics","tag-big-data-hadoop","tag-big-data-hadoop-certification","tag-big-data-hadoop-tutorial","tag-big-data-notes","tag-big-data-toolshow-big-data-and-hadoop-are-linked","tag-big-data-tutorial","tag-capgemini-interview-questions-and-answers","tag-casting-networks-india-pvt-limited-interview-questions-and-answers","tag-cgi-group-inc-interview-questions-and-answers","tag-collabera-technologiesinterview-questions-and-answers","tag-dell-international-services-india-pvt-ltd-interview-questions-and-answers","tag-difference-between-big-data-and-data-science","tag-difference-between-big-data-and-hadoop","tag-difference-between-hadoop-and-spark","tag-ernst-young-interview-questions-and-answers","tag-flipkart-interview-questions-and-answers","tag-genpact-interview-questions-and-answers","tag-hadoop-architecture","tag-hadoop-as-big-data-solution","tag-hadoop-database","tag-hadoop-example","tag-hadoop-modules","tag-hadoop-storage","tag-ibm-interview-questions-and-answers","tag-indecomm-global-services-interview-questions-and-answers","tag-lt-infotech-interview-questions-and-answers","tag-mindtree-interview-questions-and-answers","tag-netapp-interview-questions-and-answers","tag-r-systems-interview-questions-and-answers","tag-rbs-india-development-centre-pvt-ltd-interview-questions-and-answers","tag-sap-labs-india-pvt-ltd-interview-questions-and-answers","tag-tata-consultancy-service-interview-questions-and-answers","tag-tech-mahindra-interview-questions-and-answers","tag-trigent-software-interview-questions-and-answers","tag-unitedhealth-group-interview-questions-and-answers","tag-virtusa-consulting-services-pvt-ltd-interview-questions-and-answers","tag-wells-fargo-interview-questions-and-answers","tag-what-is-big-data","tag-what-is-hadoop-used-for","tag-wipro-infotech-interview-questions-and-answers","tag-wipro-interview-questions-and-answers","tag-xoriant-solutions-pvt-ltd-interview-questions-and-answers","tag-zs-associates-interview-questions-and-answers"],"yoast_head":"\n