{"id":16566,"date":"2018-05-30T06:00:18","date_gmt":"2018-05-30T06:00:18","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=16566"},"modified":"2023-08-17T12:04:29","modified_gmt":"2023-08-17T06:34:29","slug":"pig-careers","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/pig-careers\/","title":{"rendered":"Apache Pig Careers Scope &#8211; Latest Salary Trends"},"content":{"rendered":"<p><span style=\"font-weight: 400\">The document \u201cApache Pig Careers Scope with Latest Salary trends\u201d, shows the popularity of <strong>Apache Pig<\/strong> along with the latest salary trends. Since, to analyze large sets of data representing them as data flow or to perform manipulation operations in <strong>Hadoop<\/strong>, we use Pig. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Many companies are adopting Apache Pig very rapidly. That means Careers in Pig and Pig Jobs are increasing day by day. So, this article includes all this information. Also, we will see why should we learn Apache Pig.<\/span><\/p>\n<p>So, let&#8217;s start Apache Pig Careers Opportunities.<\/p>\n<h3><span style=\"font-weight: 400\">Pig Careers Opportunities<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Apache Pig is an abstraction over <strong>MapReduce<\/strong> which is also a tool\/platform to perform large sets of data representing them as data flows. Moreover, we can perform all the data manipulation operations in <strong>Hadoop<\/strong> using Pig.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Initially, as a research project at Yahoo, Apache Pig was developed, in the year 2006 to create and execute MapReduce jobs on every dataset. Then via Apache incubator, Apache Pig was open sourced, in the year 2007. <\/span><\/p>\n<p><span style=\"font-weight: 400\">The first release of Apache Pig came out, in the year In 2008. Further, Apache Pig graduated as an Apache top-level project, in 2010.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">Companies Using Apache Pig<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Apache Pig has a career in many companies like:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"> Salesforce.com<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"> AXA<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"> GlaxoSmithKline<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\"> Slingshot Aerospace<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">BHP Billiton<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400\">Latest &#8211; Apache Pig Salary Trends<\/span><\/h3>\n<p><span style=\"font-weight: 400\">For manipulation operations in Hadoop, Pig has been the buzzword lately. As per high demand, the pay package for professionals with Pig skill is on par with industry standards. Similarly, here also census only belongs to the U.S. but you can get a good idea about Pig Salary trends.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Now, according to payscale.com-<\/span><\/p>\n<div id=\"attachment_16568\" style=\"width: 640px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture1-3.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16568\" class=\"wp-image-16568 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture1-3.png\" alt=\"Pig Career\" width=\"630\" height=\"435\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture1-3.png 630w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture1-3-150x104.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture1-3-300x207.png 300w\" sizes=\"auto, (max-width: 630px) 100vw, 630px\" \/><\/a><p id=\"caption-attachment-16568\" class=\"wp-caption-text\">Pig Career<\/p><\/div>\n<div id=\"attachment_16569\" style=\"width: 632px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture2-1.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16569\" class=\"wp-image-16569 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture2-1.png\" alt=\"Pig Career\" width=\"622\" height=\"442\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture2-1.png 622w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture2-1-150x107.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Capture2-1-300x213.png 300w\" sizes=\"auto, (max-width: 622px) 100vw, 622px\" \/><\/a><p id=\"caption-attachment-16569\" class=\"wp-caption-text\">Pig Career<\/p><\/div>\n<h3><span style=\"font-weight: 400\">Intended Audience<\/span><\/h3>\n<p>Data engineers, data analysts, data scientists, big data developers, and businesses working with big data make up the wide audience for Apache Pig. It offers a high-level scripting language called Pig Latin that, by abstracting the complexities of the underlying distributed processing, makes large-scale dataset data processing jobs simpler and faster.<\/p>\n<p>Pig users gain from code reuse, simpler maintenance, and easy Hadoop ecosystem interaction. Apache Pig enables technical experts with SQL backgrounds to handle big data effectively without having to learn the complexities of low-level MapReduce or Tez programming because to its SQL-like syntax.<\/p>\n<h3><span style=\"font-weight: 400\">Conclusion<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Hence, in Pig Careers tutorial, we have seen that how Apache Pig has become the de-facto standard for manipulation operations in Hadoop. Moreover, we discussed the Popularity of Apache Pig, Pig salary with the help of images. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Also, we discussed Pig growth and understand that who should learn Pig. However, if any query occurs, feel free to ask in the comment tab.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The document \u201cApache Pig Careers Scope with Latest Salary trends\u201d, shows the popularity of Apache Pig along with the latest salary trends. Since, to analyze large sets of data representing them as data flow&#46;&#46;&#46;<\/p>\n","protected":false},"author":7,"featured_media":42532,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[40],"tags":[867,878,887,2708,4992,5005,9498,9499],"class_list":["post-16566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-pig","tag-apache-pig-careers-opportunities","tag-apache-pig-jobs","tag-apache-pig-salary-trends","tag-companies-using-apache-pig","tag-future-in-apache-pig","tag-future-scope-of-apache-pig","tag-pig-careers","tag-pig-careers-opportunities"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Apache Pig Careers Scope &#8211; Latest Salary Trends - DataFlair<\/title>\n<meta name=\"description\" content=\"Apache Pig Careers Opportunities,latest salary pattern for Pig developer &amp; 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