{"id":1955,"date":"2017-05-05T08:58:26","date_gmt":"2017-05-05T08:58:26","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/future-big-big-data\/"},"modified":"2025-01-22T14:35:39","modified_gmt":"2025-01-22T09:05:39","slug":"future-big-big-data","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/future-big-big-data\/","title":{"rendered":"The Future is Big in Big Data"},"content":{"rendered":"<p>Nearly 95% of all the data in the world was created in just the last two years. With connected devices, smart homes and self-driving cars the amount and complexity of data is growing exponentially.<br \/>\nIn this new Big Data world, someone needs to manage and make sense of all this data. Data Scientists and Big Data Engineers are hired not just by a few elite data companies, but by nearly every single enterprise.<br \/>\n<strong>How do I get there?<\/strong><br \/>\nWondering what would it take to build a career in <a href=\"https:\/\/www.mygreatlearning.com\/pg-program-machine-learning-course\" target=\"_blank\" rel=\"noopener noreferrer\">Big Data Analytics<\/a>? Well the answer is simple<\/p>\n<ul>\n<li>It will take comfort with the tools of the trade<\/li>\n<li>You need to know when each of these tools and techniques is appropriate<\/li>\n<li>And you\u2019ll need hands-on experience wrestling with mountains of complex data<\/li>\n<\/ul>\n<p><strong>How do I develop these skills?<\/strong><br \/>\nThe only way to develop these skills is with practice. Lots of it!<br \/>\n<strong>Why should I do it with Great Learning?<\/strong><br \/>\nGreat Learning\u2019s <strong>Big Data Analytics program<\/strong> focuses on deliberate practice.<br \/>\nYou have a lab that\u2019s available to you 24X7. On cloud. Pre-configured with all the relevant tools you\u2019ll need to master the art of handling the data.<br \/>\nHere you can get as much practice as you need.<br \/>\nAt the end of the program, you\u2019ll not only know enough to get the job, but you\u2019ll also be ready to do the work from Day 1!<br \/>\n<strong>Industry Connect<\/strong><br \/>\nGreat Learning has been providing top-notch <a href=\"https:\/\/www.mygreatlearning.com\/pg-program-machine-learning-course\" target=\"_blank\" rel=\"noopener noreferrer\">Business Analytics programs<\/a> for many years now. Over time, we\u2019ve built deep connections with top analytics professionals in the industry.<br \/>\nThey not only advise us and validate the usefulness of our programs in the real world, they also teach our classes.<br \/>\nIn this program, these experts with dozens of years of experience in Big Data Analytics will teach and mentor you. They\u2019ll use examples and case studies that they\u2019ve encountered in real life.<br \/>\nThus empowering you with <strong>real world education<\/strong>.<br \/>\n<strong>What does the program teach me?<\/strong><br \/>\nBusinesses aren\u2019t happy just <strong>capturing<\/strong> loads of data. What they need are meaningful insights that they can build a strategy on.<br \/>\nTo make sure you\u2019re ready for this challenge, we\u2019ll take you through the whole spectrum:<\/p>\n<ul>\n<li>The most relevant Big Data tools<\/li>\n<li>Machine Learning techniques to make predictions and suggestions<\/li>\n<li>Visualization- to communicate what you\u2019ve learned<\/li>\n<\/ul>\n<p><strong>To sum it up, <\/strong><br \/>\nData Scientists, Big Data Engineers and a host of related jobs are lucrative and often the most critical tech roles in companies.<br \/>\nThese careers are out there now. And they\u2019re in demand. Great Learning\u2019s Big Data Analytics program will help you get there.<br \/>\n<strong>Also watch our program director, Harish K. Subramanian, talk about the PG program in Big Data Analytics from Great Lakes Institute of Management.<\/strong><\/p>\n<div class=\"ast-oembed-container \" style=\"height: 100%;\"><iframe title=\"Build Your Career in Big Data | Introduction to PGP in Big Data Analytics | Great Learning\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/knq0kuBQbVI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Nearly 95% of all the data in the world was created in just the last two years. With connected devices, smart homes and self-driving cars the amount and complexity of data is growing exponentially. In this new Big Data world, someone needs to manage and make sense of all this data. Data Scientists and Big [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":1986,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","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":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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