Reliability<\/h2>\n<\/div>\n<\/div>\n

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• Hadoop stores data on the cluster in a reliable manner that is independent of machine.<\/li>\n
• So, the data stored in Hadoop environment is not affected by the failure of the machine.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
  \n

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  Scalability<\/h2>\n<\/div>\n<\/div>\n

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  • Another important feature of Hadoop is the scalability. It is compatible with the other hardware and we can easily ass the new hardware to the nodes.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
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    Economic<\/h2>\n<\/div>\n<\/div>\n

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    • Apache Hadoop is not very expensive as it runs on a cluster of commodity hardware.<\/li>\n
    • Hadoop also provides huge cost saving also as it is very easy to add more nodes on the fly here. So if requirement increases, then you can increase nodes as well without any downtime and without requiring much of pre-planning.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
      \n

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      Easy to use<\/h2>\n<\/div>\n<\/div>\n

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      • No need of client to deal with distributed computing, the framework takes care of all the things. So this feature of Hadoop is easy to use.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
        \n

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        Data Locality<\/h2>\n<\/div>\n<\/div>\n

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        • This one is a unique features of Hadoop that made it easily handle the Big Data. Hadoop works on data locality principle which states that move computation to data instead of data to computation.<\/li>\n
        • When a client submits the MapReduce algorithm, this algorithm is moved to data in the cluster rather than bringing data to the location where the algorithm is submitted and then processing it.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
          \n

          <\/div>\n<\/div>\n

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          High Availability<\/h2>\n<\/div>\n<\/div>\n

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          • The data stored in Hadoop is available to access even after the hardware failure. In case of hardware failure, the data can be accessed from another path.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
            \n

            <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

            Answer : Hadoop supports the storage and processing of big 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":[1324,195,1340,1354,1337,1333,1119,360,1168,1351,203,199,214,1030,1331,1120,1334,1341,205,1350,1338,485,1342,1328,1343,222,1332,1335,484,1133,1171,1352,1355,1316,1339,1330,1349,1348,1353,1164,1165,196,212,1336,1345,1327,286,1347,1344,970,366,1356,288,367,206,1346,975,200,1326,974,197,280,364,1325,1329,1049,1313,968,216,285,1140,1158,1121],"class_list":["post-279","post","type-post","status-publish","format-standard","hentry","category-big-data","tag-9-features-of-hadoop","tag-accenture-interview-questions-and-answers","tag-advantages-of-hadoop-over-data-warehouse","tag-apache-hadoop","tag-applications-of-hadoopa","tag-architecture-of-hadoop","tag-att-interview-questions-and-answers","tag-atos-interview-questions-and-answers","tag-big-data-hadoop","tag-bigdata-and-hadoop","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-characteristics-of-big-data","tag-characteristics-of-hadoop","tag-collabera-technologiesinterview-questions-and-answers","tag-components-of-hadoop","tag-conclusion-of-hadoop","tag-dell-international-services-india-pvt-ltd-interview-questions-and-answers","tag-distributed-file-system","tag-dvantages-of-hadoop-ecosystem","tag-ernst-young-interview-questions-and-answers","tag-features-of-big-data","tag-features-of-hadoop","tag-features-of-hdfs","tag-flipkart-interview-questions-and-answers","tag-functionalities-of-hadoop-cluster","tag-functionality-of-hadoop-cluster","tag-genpact-interview-questions-and-answers","tag-hadoop","tag-hadoop-architecture","tag-hadoop-certification","tag-hadoop-commands","tag-hadoop-ecosystem","tag-hadoop-explained","tag-hadoop-features-and-advantages","tag-hadoop-hive","tag-hadoop-mapreduce","tag-hadoop-the-definitive-guide","tag-hdfs","tag-hdfs-architecture","tag-ibm-interview-questions-and-answers","tag-indecomm-global-services-interview-questions-and-answers","tag-key-distinctions-of-hadoop-are-mcq","tag-key-features-of-big-data","tag-key-features-of-hadoop","tag-lt-infotech-interview-questions-and-answers","tag-mapreduce","tag-mapreduce-features","tag-mindtree-interview-questions-and-answers","tag-netapp-interview-questions-and-answers","tag-pig-hadoop","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-special-features-of-hadoop","tag-tata-consultancy-service-interview-questions-and-answers","tag-tech-mahindra-interview-questions-and-answers","tag-top-10-features-of-big-data-hadoop","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-are-the-main-features-of-hadoop","tag-what-are-the-most-important-features-of-hadoop","tag-what-is-big-data-hadoop","tag-what-is-hadoop","tag-wipro-infotech-interview-questions-and-answers","tag-wipro-interview-questions-and-answers","tag-xoriant-solutions-pvt-ltd-interview-questions-and-answers","tag-yarn-architecture","tag-yarn-hadoop","tag-zs-associates-interview-questions-and-answers"],"yoast_head":"\n