{"id":254,"date":"2021-07-12T16:16:52","date_gmt":"2021-07-12T16:16:52","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=254"},"modified":"2021-09-14T09:57:13","modified_gmt":"2021-09-14T09:57:13","slug":"what-is-shark","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/apache-spark\/what-is-shark\/","title":{"rendered":"What is Shark ?"},"content":{"rendered":"<div class=\"TextHeading\">\n<div class=\"hddn\">\n<h2 id=\"what-is-shark\" class=\"color-pink\" style=\"text-align: justify;\">What is Shark ?<\/h2>\n<\/div>\n<\/div>\n<div class=\"Content\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<ul>\n<li>Shark is a tool, developed for people who are from a database background \u2013 to access Scala MLib capabilities through Hive like\u00a0<a href=\"https:\/\/www.wikitechy.com\/tutorials\/sql\/\" target=\"_blank\" rel=\"noopener\">SQL<\/a>\u00a0interface.<\/li>\n<li>Shark tool helps data users run Hive on\u00a0<a href=\"https:\/\/forums.wikitechy.com\/qa-tag\/apache-spark\/\" target=\"_blank\" rel=\"noopener\">Spark<\/a>\u00a0\u2013 offering compatibility with Hive metastore, queries and data.<\/li>\n<li>Like Hive, Spark queries are written using a SQL-like language called HiveQL, which Spark translates into Spark Directed Acyclic Graphs (DAGs) that are executed on the Hadoop cluster.<\/li>\n<li>More complex queries are supported through User Defined Functions (UDFs) that can be written in\u00a0<a href=\"https:\/\/www.wikitechy.com\/tutorials\/java\/\" target=\"_blank\" rel=\"noopener\">Java\u00a0<\/a>and referenced by a HiveQL query.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"text-center row\" style=\"text-align: justify;\"><\/div>\n<div class=\"ImageContent\">\n<div class=\"hddn\"><img decoding=\"async\" class=\"img-responsive center-block aligncenter\" src=\"https:\/\/cdn.wikitechy.com\/interview-questions\/apache-spark\/what-is-shark.jpg\" alt=\"What is Shark\" \/><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Answer : Shark is a tool, developed for people who are from&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[878],"tags":[195,971,1015,1016,1017,1018,999,1019,1020,1021,881,1022,1023,1024,1025,1026,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,1012,203,199,214,209,205,222,484,1010,196,973,286,970,204,208,288,367,483,972,1009,1008,996,1002,998,1005,1014,1003,884,1006,976,975,200,1011,974,197,280,364,1013,968,285,969],"class_list":["post-254","post","type-post","status-publish","format-standard","hentry","category-apache-spark","tag-accenture-interview-questions-and-answers","tag-altimetrik-india-pvt-ltd-interview-questions-and-answers","tag-apache-analytics-software","tag-apache-hadoop-and-spark","tag-apache-hadoop-vs-apache-spark","tag-apache-hadoop-vs-spark","tag-apache-hive","tag-apache-hive-spark","tag-apache-hive-vs-spark","tag-apache-shark","tag-apache-spark","tag-apache-spark-analytics","tag-apache-spark-and-hadoop","tag-apache-spark-architecture","tag-apache-spark-big-data","tag-apache-spark-cassandra","tag-apache-spark-cloudapache-spark-cost","tag-apache-spark-distribution","tag-apache-spark-engine","tag-apache-spark-framework","tag-apache-spark-hadoop","tag-apache-spark-hdfs","tag-apache-spark-hive","tag-apache-spark-in-memory","tag-apache-spark-in-memory-database","tag-apache-spark-libraries","tag-apache-spark-open-source","tag-apache-spark-or-hadoop","tag-apache-spark-orgapache-spark-projects","tag-apache-spark-sql","tag-apache-spark-tools","tag-apache-spark-use-cases","tag-apache-spark-vs-apache-hadoop","tag-apache-spark-vs-hadoop","tag-apache-spark-vs-hive","tag-big-data-for-big-sharks","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-technologies-interview-questions-and-answers","tag-dell-international-services-india-pvt-ltd-interview-questions-and-answers","tag-flipkart-interview-questions-and-answers","tag-genpact-interview-questions-and-answers","tag-hive-on-spark","tag-ibm-interview-questions-and-answers","tag-jpmorgan-chase-and-go-interview-questions-and-answers","tag-lt-infotech-interview-questions-and-answers","tag-mindtree-interview-questions-and-answers","tag-oracle-corporation-interview-questions-and-answers","tag-prokarma-softech-pvt-ltd-interview-questions-and-answers","tag-r-systems-interview-questions-and-answers","tag-rbs-india-development-centre-pvt-ltd-interview-questions-and-answers","tag-reliance-industries-ltd-interview-questions-and-answers","tag-sapient-consulting-pvt-ltd-interview-questions-and-answers","tag-shark","tag-shark-sql-on-spark","tag-shark-and-spark-sql","tag-shark-in-spark","tag-shark-spark-drone","tag-shark-vs-spark","tag-spark-and-shark","tag-spark-shark-fish-hunt","tag-spark-sql","tag-spark-vs-shark","tag-synechron-te-interview-questions-and-answers","tag-tata-consultancy-service-interview-questions-and-answers","tag-tech-mahindra-interview-questions-and-answers","tag-the-future-of-sql-on-apache","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-apache-shark","tag-wipro-infotech-interview-questions-and-answers","tag-xoriant-solutions-pvt-ltd-interview-questions-and-answers","tag-yodlee-infotech-pvt-ltd-interview-questions-and-answers"],"yoast_head":"<!-- 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