{"id":3821,"date":"2014-07-10T12:00:23","date_gmt":"2014-07-10T19:00:23","guid":{"rendered":"https:\/\/blogschapman.wpenginepowered.com\/scst\/2014\/07\/10\/future-of-big-data-careers\/"},"modified":"2014-07-10T12:00:23","modified_gmt":"2014-07-10T19:00:23","slug":"future-of-big-data-careers","status":"publish","type":"post","link":"https:\/\/blogs.chapman.edu\/scst\/2014\/07\/10\/future-of-big-data-careers\/","title":{"rendered":"The Future of Big Data Careers"},"content":{"rendered":"<p style=\"text-align: center\"><strong>This article, written by Joe Yogerst, originally\u00a0<a href=\"http:\/\/www.latimes.com\/brandpublishing\/businessplus\/chapmanu\/la-ss-the-future-of-big-data-careers-20140128-dto,0,593268.story#ixzz2ycDH1Ngb\">appeared on the\u00a0<em>Los Angeles Times<\/em>\u00a0website<\/a>.<\/strong><\/p>\n<p>One of the nation\u2019s leading authorities on big data retrieval,\u00a0<a href=\"http:\/\/www.chapman.edu\/our-faculty\/erik-linstead\"><strong>Erik Linstead<\/strong><\/a>\u00a0is an assistant professor of computer science in the <a href=\"http:\/\/www.chapman.edu\/scst\/index.aspx\">School of Computational Sciences<\/a> at Chapman University\u2019s Schmid College of Science and Technology. We asked him why big data retrieval is so important right now and what to expect in the not-so-distant future.<\/p>\n<p><strong>Q: Is there a shortage of big data scientists in the U.S?<br \/>\n<\/strong><br \/>\nA: I was recently reading an article that states that in the next five years in the U.S. we could be facing a shortage of almost 200,000 qualified data scientists. This is in part due to the diversity of skills required to mine big data effectively.<\/p>\n<p><strong>Q: What skills are required for effective big data mining?<\/strong><em><br \/>\n<\/em><br \/>\nA: One needs to be mathematically savvy as well as able to design and apply new computational approaches, because the volume of data being generated makes standard computational tools alone ineffective. Because every data set is domain-specific, data scientists also have to have the skills to talk to experts from a wide variety of areas and know what questions to ask so the data can be effectively leveraged.<\/p>\n<p><strong>Q: Why has the analyzing of large data sets become important for U.S. companies and industries?<\/strong><\/p>\n<p>A: The volume of data being generated \u2026 in every industry has grown drastically. This data can be used to build predictive models, understand consumers, improve marketing, evolve business models, develop products and more. There is tremendous value in the data, but you have to be able to deal with the volume, and you have to be able to deal with noise in the data. That\u2019s where big data comes into play. It allows us to find the \u201csignal\u201d in the data, as well as build models that explain that signal.<\/p>\n<p><strong>Q: How does big data create value for a company or industry?<\/strong><\/p>\n<p>A: The better you are at understanding your customers, products, services, etc., the more effectively you will be able to compete.<\/p>\n<p><strong>Q: What components are essential to develop a game plan for assembling, integrating and optimizing data?<br \/>\n<\/strong><em><br \/>\n<\/em>A: It\u2019s challenging. You need to have the right infrastructure to collect and store data, as well as the computational infrastructure to analyze it in a reasonable amount of time. More importantly, you need to know what it is you\u2019re looking for in the data \u2014\u00a0how you want to leverage it. This guides the process of identifying the big data techniques that will be effective in answering the questions you are interested in. Once you have the analysis \u2014 the answer to those questions \u2014 you have to decide what it means for your business. It\u2019s an iterative, collaborative process.<\/p>\n<p>The good news is that the computational infrastructure problem is reasonably straightforward. There are several options, and many of them are affordable. Having the right people with the right mix of skills to integrate, model and interpret the data is a much harder problem. At Chapman University, our graduate programs in computational and data science are trying to attack this problem by producing students with the mathematical and computational backgrounds to effectively solve big data problems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This article, written by Joe Yogerst, originally\u00a0appeared on the\u00a0Los Angeles Times\u00a0website. One of the nation\u2019s leading authorities on big data [&hellip;]<\/p>\n","protected":false},"author":74,"featured_media":2114,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"custom_author_name":"Joe Yogerstl","chapman_pin_hero_slider":"","footnotes":""},"categories":[3],"tags":[12],"class_list":["post-3821","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-computational-and-data-sciences"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Schmid College of Science and Technology | Chapman Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.chapman.edu\/scst\/2014\/07\/10\/future-of-big-data-careers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Future of Big Data Careers - Schmid College of Science and Technology\" \/>\n<meta property=\"og:description\" content=\"This article, written by Joe Yogerst, originally\u00a0appeared on the\u00a0Los Angeles Times\u00a0website. 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