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	<title>Careers in Big Data Archives - ITStaff</title>
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		<title>Are Careers in Big Data Eliminating Human Jobs?</title>
		<link>https://itstaff.com/2016/11/28/careers-big-data-eliminating-human-jobs/</link>
		
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		<pubDate>Mon, 28 Nov 2016 15:00:02 +0000</pubDate>
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					<description><![CDATA[<p>Managing big data is changing the traditional landscape. Systems are being created to sort better and compile information from a wider range of sources. ...</p>
<p>The post <a href="https://itstaff.com/2016/11/28/careers-big-data-eliminating-human-jobs/">Are Careers in Big Data Eliminating Human Jobs?</a> appeared first on <a href="https://itstaff.com">ITStaff</a>.</p>
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										<content:encoded><![CDATA[<p class="p1"><img fetchpriority="high" decoding="async" class="alignnone wp-image-522" src="https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing.jpg" alt="Big Data Careers" width="725" height="363" srcset="https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing.jpg 1200w, https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing-300x150.jpg 300w, https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing-768x384.jpg 768w, https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing-1024x512.jpg 1024w, https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing-150x75.jpg 150w, https://itstaff.com/wp-content/uploads/2016/11/Big_Data_itstaff_socialsharing-1140x570.jpg 1140w" sizes="(max-width: 725px) 100vw, 725px" /></p>
<p class="p1"><span class="s1">Managing big data is changing the traditional landscape. Systems are being created to sort better and compile information from a wider range of sources. Improved analytics and business intelligence tools automate complex processes that were once solely the domain of a human being.</span></p>
<p class="p1"><span class="s1">As big data jobs streamline these advanced capabilities, will those working in big data ultimately make other positions obsolete? Here are some considerations for the future, and when a real person will or won’t be needed.</span></p>
<h2 class="p1"><span class="s1">The (Possible) End of Traditional Data Warehousing</span></h2>
<p class="p1"><span class="s1">Big data is traditionally seen as unstructured or semi-structured. This means that data of different types and sources need to relate to provide meaningful information. While the customer list of yesteryear could be managed on a simple spreadsheet, today we rely on information from sales records, social media pages, blog posts, online videos, and much more. The array of available information allows businesses to create a more precise picture of a current or potential customer far beyond the standard demographics that were previously used.</span></p>
<p class="p1"><span class="s1">Traditional data warehousing relied on strict constructs for managing data. Models are difficult to change, and the schema is often highly restrictive. While data stored in this way can be queried, it does not leave much room for adaptation. It also provides challenges when relating data of differing formats.</span></p>
<p class="p1"><span class="s1">While the traditional data warehouse personnel may not be required in the newer landscape, their skills won’t become instantly irrelevant. Instead, their skills will be applied to the management of certain small data constructs, allowing them to perform a vital part in the big data world.</span></p>
<h2 class="p1"><span class="s1">Powerful Analytics and Capable Software</span></h2>
<p class="p1"><span class="s1">As big data becomes more integrated into our daily lives, the analytics involved have matured significantly. Certain processes that were once completed by hand can now be handled with a simple automated query. Further, developments in software have allowed more sophisticated actions to be completed without the user being aware of how the process is completed. Technology has given us the ability to remove the human factor from activities across most business sectors.</span></p>
<p class="p1"><span class="s1">But, software has been a threat to jobs since the day it was invented. The idea that technology could render certain positions unnecessary is not new within the IT, or any other, landscape. However, with every new technological development comes the need for someone to support the new system, maintain the software, and interpret the data.</span></p>
<h2 class="p1"><span class="s1">Human Intuition</span></h2>
<p class="p1"><span class="s1">While many processes can be replicated with software, we have yet to create a system that can replace human intuition. Automated analytics are only as capable as we make them, which limits their capacity to outperform an individual in certain instances. While the nature of a person’s job may shift as technology changes, there are some areas where a human touch is required.</span></p>
<p class="p1"><span class="s1">Will big data eliminate certain positions? Of course, it will. But new jobs may take the place of those that are now automated, allowing employees to grow as needs to change.</span></p>
<p class="p1"><span class="s1">If you are looking for a new employment opportunity in big data or any other IT field, ITStaff is here to help. See everything they have to offer. <a href="https://itstaff.com/contact"><span class="s2">Contact ITStaff today</span></a>!</span></p>
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<p>The post <a href="https://itstaff.com/2016/11/28/careers-big-data-eliminating-human-jobs/">Are Careers in Big Data Eliminating Human Jobs?</a> appeared first on <a href="https://itstaff.com">ITStaff</a>.</p>
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