{"id":1306,"date":"2019-05-29T03:26:00","date_gmt":"2019-05-29T03:26:00","guid":{"rendered":"http:\/\/52.151.20.243\/?p=1306"},"modified":"2024-05-21T11:35:10","modified_gmt":"2024-05-21T11:35:10","slug":"breaking-down-big-data-a-primer-for-it-professionals","status":"publish","type":"post","link":"https:\/\/skillup.online\/blog\/breaking-down-big-data-a-primer-for-it-professionals\/","title":{"rendered":"Breaking Down Big Data: A Primer for IT Professionals"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div><p>Whether you&#8217;re a bright-eyed rookie or seasoned IT professional, chances are you&#8217;ve encountered the term \u00a0&#8216;big data&#8217;. You may not have understood precisely what it meant at the time, but unless you&#8217;ve been living under a rock, you also probably know that big data skills are in high demand. That means that now is the perfect time to develop a better understanding. That includes learning about:<\/p>\n<ul>\n<li>The definition of big data, and how it has evolved over the decades<\/li>\n<li>Some of the leading use cases and niches in the big data space<\/li>\n<li>Industries which are making the most of big data applications and hiring<\/li>\n<li>How IT professionals can transition from other IT roles into the big data space<\/li>\n<li>How to sell big data within your organization, or how to get hired into lucrative positions<\/li>\n<\/ul>\n<p>Are you concerned your existing skills aren&#8217;t as marketable as they should be in today&#8217;s digital data economy? Are you simply looking to determine the best learning path to cultivating marketable skills? In either case, you&#8217;ve discovered a great place to answer these questions, so let&#8217;s begin.<\/p>\n<h2>The Only Definition of Big Data You&#8217;ll Ever Need<\/h2>\n<p>You almost need a big data application to sort through all of the<a href=\"https:\/\/www.gartner.com\/it-glossary\/big-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u00a0big data definitions<\/a>\u00a0on the internet. Want a simple definition to post on your cubicle wall, your Slack workspace, (or wherever you keep your treasure trove of knowledge)? Be sure to save this one from Gartner:<\/p>\n<p><strong><a title=\"Big data and BI\" href=\"http:\/\/www.gartner.com\/technology\/topics\/big-data.jsp\"><em>Big data<\/em><\/a><\/strong><em>\u00a0is high-volume, high-velocity and\/or high-variety information assets that demand cost-effective, innovative forms of information processing that enables enhanced insight, decision making, and process automation. \u00a0<\/em><\/p>\n<p>If you break this definition down, it helps to explain the big data opportunity further.<\/p>\n<p>In other words, big data is:<\/p>\n<p><strong>High volume<\/strong>\u00a0&#8211; Data is created at a rate of\u00a0<a href=\"https:\/\/www.forbes.com\/sites\/bernardmarr\/2018\/05\/21\/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read\/\" target=\"_blank\" rel=\"noopener noreferrer\">2.5 quintillion bytes<\/a>\u00a0of data every day, or approximately 2.5 million terabytes. A lot of that is social media activity, yet social media sentiment can help companies to understand how customers truly value their brand, products and services.<\/p>\n<p><strong>High velocity<\/strong>\u00a0&#8211; \u00a0That&#8217;s a lot of data journeying through its life cycle in just one day!<\/p>\n<p><strong>High variety<\/strong>\u00a0&#8211; There&#8217;s structured data like what exists in CRM and ERP applications. You&#8217;ve got unstructured data in e-mails, documents, and flying around the Internet of Things. <a href=\"http:\/\/52.151.20.243\/digital-transformation-what-every-it-professional-needs-to-know\/\" target=\"_blank\" rel=\"noopener noreferrer\">Companies create data internally, access public data through the internet, and subscribe to other data services<\/a>. Big data can process data across multiple channels.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-4359 size-full\" src=\"https:\/\/sko-blog-prod.westus3.cloudapp.azure.com\/wp-content\/uploads\/BodyImage2_Landscape.jpg\" alt=\"\" width=\"1600\" height=\"900\" srcset=\"https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyImage2_Landscape.jpg 1600w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyImage2_Landscape-300x169.jpg 300w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyImage2_Landscape-1024x576.jpg 1024w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyImage2_Landscape-768x432.jpg 768w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyImage2_Landscape-1536x864.jpg 1536w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyImage2_Landscape-1320x743.jpg 1320w\" sizes=\"(max-width: 1600px) 100vw, 1600px\" \/><\/p>\n<p><strong>Information processing<\/strong>\u00a0includes business intelligence queries, data classification, and data visualization through executive dashboards. It also provides information which is processed, learned, and repurposed by Artificial Intelligence platforms.<\/p>\n<p><strong>Enhanced insight<\/strong>\u00a0means the ability to drill through historical data to understand trends which relate to past performance and real-time activities. Advanced analytics can help business analysts to make educated predictions about what will happen in future based on patterns and reasoning.<\/p>\n<p><strong>Decision making\u00a0<\/strong>in the age of data can be done with confidence, as many analytics applications and services can &#8220;reach across&#8221; multiple repositories of data in real time, process it, and return verifiable, authentic information. Manual business intelligence reporting systems which require extensive technical expertise are widely being replaced by device-agnostic, cloud-enabled, API-extensible analytics services.<\/p>\n<p><strong>Process automation<\/strong>: Need the latest sales, customer service, and manufacturing performance queries to be run against last year&#8217;s attainments monthly, and packaged into personalized reports for company executives? It&#8217;s only a matter of configuring reports and workflows.<\/p>\n<h2>Big Data Opportunities and Use Cases<\/h2>\n<p>Did you know that data science was declared the\u00a0<a href=\"https:\/\/www.entrepreneur.com\/article\/327162\" target=\"_blank\" rel=\"noopener noreferrer\">sexiest job of the 21st century<\/a>? Some would argue that data engineers are sexier, but it&#8217;s a tight race. Data scientists are those who work and have backgrounds in math, statistics, <a href=\"http:\/\/52.151.20.243\/digital-transformation-what-every-it-professional-needs-to-know\/\" target=\"_blank\" rel=\"noopener noreferrer\">advanced analytics and machine learning<\/a>. If you aspire to be a data scientist, starting in the trenches as a data analyst is usually the entry point.<\/p>\n<p>Data engineers are programmers that build systems, frameworks and programs in languages like\u00a0<a href=\"https:\/\/skillup.online\/courses\/course-v1:Microsoft+DAT208x+2018_T3\/about\" target=\"_blank\" rel=\"noopener noreferrer\">Python<\/a>. Apps which store, parse, and deliver data. Where these two roles intersect or overlap, that&#8217;s the big data &#8220;<a href=\"https:\/\/www.oreilly.com\/ideas\/data-engineers-vs-data-scientists\" target=\"_blank\" rel=\"noopener noreferrer\">sweet spot<\/a>&#8221; on the Venn Diagram.<\/p>\n<p><a href=\"https:\/\/skillup.tech\/data-to-improve-learner-outcomes-data-strategy\/\" target=\"_blank\" rel=\"noopener noreferrer\">Use cases of big data<\/a> include sales forecasting, tracking invoice-to-cash cycle times, and building and running AI bots to handle high-volume, low-complexity customer service inquiries.<\/p>\n<h2>Hot Industries for Big Data<\/h2>\n<p>Organizations in regulated industries, high-growth and companies which create and process lots of information are ideal environments for big data. Leading examples include:<\/p>\n<ul>\n<li>Financial services including banking, securities, and insurance<\/li>\n<li>Healthcare<\/li>\n<li>Education<\/li>\n<li>Government<\/li>\n<li>Legal<\/li>\n<li>Retail<\/li>\n<li>Utilities<\/li>\n<li>High technology and communications<\/li>\n<li>Media and entertainment<\/li>\n<li>Manufacturing<\/li>\n<\/ul>\n<p>That&#8217;s a pretty broad set of industries, which translates into a lot of opportunities for those with the right skill set.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-4358 size-full\" src=\"https:\/\/sko-blog-prod.westus3.cloudapp.azure.com\/wp-content\/uploads\/BodyIamge3_Landscape.jpg\" alt=\"\" width=\"1600\" height=\"900\" srcset=\"https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyIamge3_Landscape.jpg 1600w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyIamge3_Landscape-300x169.jpg 300w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyIamge3_Landscape-1024x576.jpg 1024w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyIamge3_Landscape-768x432.jpg 768w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyIamge3_Landscape-1536x864.jpg 1536w, https:\/\/blog.skillup.online\/wp-content\/uploads\/\/BodyIamge3_Landscape-1320x743.jpg 1320w\" sizes=\"(max-width: 1600px) 100vw, 1600px\" \/><\/p>\n<h2>4. How Can I Transition From My Current Role into Big Data?<\/h2>\n<p>Enroll in our Skillup online courses like our<em><a href=\"https:\/\/skillup.online\/courses\/course-v1:Microsoft+DAT229x+2018_T4\/about\" target=\"_blank\" rel=\"noopener noreferrer\">\u00a0Introduction to Big Data<\/a>,\u00a0<\/em><a href=\"https:\/\/skillup.online\/courses\/course-v1:Microsoft+DAT223.1x+2018_T2\/about\"><em>Processing Big Data with Azure Data Lake Analytics<\/em><\/a><em>,\u00a0<\/em>or\u00a0<a href=\"https:\/\/skillup.online\/courses\/course-v1:Microsoft+DAT249x+2018_T3\/about\" target=\"_blank\" rel=\"noopener noreferrer\">Ethics and Law in Data and Analytics<\/a>. If you have a background in cloud services like Microsoft Azure, Google or AWS &#8211; analytics training and certification can open new doors to career opportunities you never dreamed of.<\/p>\n<h2>5. How do I Get My Business to Invest in Big Data, or Do I Get Hired Into a Data Specialist Role?<\/h2>\n<p>Finally, complete one of the introductory courses above and pitch the key points, with the insights from this article, to the hiring manager or stakeholders.<\/p>\n<p>Looking for more ways to improve your skills, accelerate your career in the data economy, or get more value from your data assets? Browse our\u00a0<a href=\"https:\/\/skillup.online\/courses?search_query=big+data\" target=\"_blank\" rel=\"noopener noreferrer\">course library\u00a0<\/a>and learn about the leading big data processes and tools.<\/p>\n<div><\/div>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Whether you&#8217;re a bright-eyed rookie or seasoned IT professional, chances are you&#8217;ve encountered the term \u00a0&#8216;big data&#8217;. You may not have understood precisely what it meant at the time, but unless you&#8217;ve been living under a rock, you also probably know that big data skills are in high demand. That means that now is the&#8230;<\/p>\n","protected":false},"author":8,"featured_media":4360,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[299,187],"tags":[14,19,295,23,285],"class_list":["post-1306","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-data-science","tag-big-data","tag-data-science","tag-information-technology","tag-it","tag-online-learning"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Breaking Down Big Data: A Primer for IT Professionals | SkillUp Online<\/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:\/\/skillup.online\/blog\/breaking-down-big-data-a-primer-for-it-professionals\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Breaking Down Big Data: A Primer for IT Professionals | SkillUp Online\" \/>\n<meta property=\"og:description\" content=\"Whether you&#8217;re a bright-eyed rookie or seasoned IT professional, chances are you&#8217;ve encountered the term \u00a0&#8216;big data&#8217;. 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