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<\/p>\nWhat do you get when you type “big data is” into Google Live Search? An interesting view into what people think about the term!<\/p>\n
<\/p>\n
Here\u2019s a quick run down \/ explanation of each of the entries with some links:<\/p>\n
This saying is usually attributed to Dan Ariely of MIT<\/a>, who posted the following on Facebook<\/a>:<\/p>\n The saying has been around for a few years, so the chances of that teenager actually doing what they say they\u2019ve been doing have been rising steadily! More and more large organizations are indeed \u201creally\u201d doing Big Data \u2013 depending on how you define it. And that brings us to the next term\u2026<\/p>\n The Global Language Monitor site has labeled big data the Top Tech Buzzword That Everybody Uses But Don\u2019t Quite Understand<\/a>, and a lot of people hate the term.<\/p>\n Among other things, critics point out that \u201cbig data\u201d has been around for a long, long time. Here, for example, is a Google Books snippet<\/a> of a \u201cMarketing Communications\u201d journal in 1913: \u201cthe reports and catalogues were there, but they were not arranged to give up the kind of information wanted.\u201d<\/p>\n The most common \u201c3Vs\u201d definition of big data was created by analyst Doug Laney<\/a> in 2001<\/a>:<\/p>\n Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.<\/p><\/blockquote>\n But according to the New York Times<\/a>, the person with the best claim to coining the modern sense of the term big data was John R. Mashey, chief scientist at Silicon Graphics in the mid-1990s. He used the term extensively in presentation such as this one from 1998: Big Data and the Next Wave of Infrastress<\/a>. He explained:<\/p>\n \u201cI was using one label for a range of issues, and I wanted the simplest, shortest phrase to convey that the boundaries of computing keep advancing\u2026\u201d<\/p><\/blockquote>\n Big Data is The Future<\/p>\n As we\u2019ve already pointed out, there are lots of different definitions of big data to disagree with<\/a>, but one thing seems clear: there has been a big increase in our ability to store and analyze data with new technologies such as Hadoop and other \u201cNoSQL\u201d databases, and fast in-memory processing.<\/p>\n If you\u2019re interested in futuristic examples of how people are using big data today, Rick Smolan\u2019s book \u201cThe Human Face of Big Data<\/a>\u201d is a great place to start.<\/p>\n Gartner believes<\/a> that the term has reached the peak of \u201cinflated expectations\u201d and is ready to fall into the \u201ctrough of disillusionment.\u201d<\/p>\n Over time, we\u2019ll probably stop talking about \u201cbig data\u201d and just talk about \u201cdata.\u201d<\/p>\n Rampant \u201cdatification<\/a>\u201d means that our every activity is being tracked by somebody, somewhere.<\/p>\n Our mobile phone and credit card transactions can give a scarily-detailed view into how we spend our daily lives. RFID chips in our passports, bank cards, and clothes can be automatically read<\/a> as soon we get close enough to a sensor. Our cars are recording<\/a> our speed and other data, ready to be used in the event of a crash (and European security experts are mulling the installation of mandatory “kill switches<\/a>\u201d that could stop cars at a distance). Cameras and face-recognition<\/a> software track us as we walk down the street. Networked home appliances, or smart meters with smart algorithms, can get a real-time view of who is home at any moment, and what their activity is (the \u201csignature\u201d of a kettle, washing machine, computer, etc. are very different). Wearable technology such as Google Glass are raising concerns<\/a>. Here\u2019s the data websites receive when you use the \u201clogin with Facebook\u201d option on their site:<\/p>\n And, of course, the NSA<\/a> and other security agencies around the world that are storing all of that information, and more, in gigantic data warehouses, and can search up to several years in the past.<\/p>\n Big data is an incredibly powerful weapon. We must use it wisely<\/a> and industry vendors should be in the forefront of addressing the ethical concerns<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" What do you get when you type “big data is” into Google Live Search? An interesting view into what people think about the term… <\/p>\n","protected":false},"author":2,"featured_media":6338,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[14],"tags":[27,100,173,533],"class_list":["post-12388","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-thoughts","tag-bigdata","tag-analytics","tag-big-data","tag-google"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2014\/01\/big-data-is-like-2-1.png?fit=552%2C226&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3X9RF-3dO","_links":{"self":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12388","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/comments?post=12388"}],"version-history":[{"count":0,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12388\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media\/6338"}],"wp:attachment":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media?parent=12388"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/categories?post=12388"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/tags?post=12388"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it\u2026<\/h4>\n<\/blockquote>\n
Big Data Is Bullshit<\/h3>\n
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<\/p>\nBig Data is Dead<\/h3>\n
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<\/a><\/p>\nBig Data is Watching You<\/h3>\n
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<\/a><\/p>\n