{"560461":{"#nid":"560461","#data":{"type":"news","title":"Why Big Data Now?","body":[{"value":"\u003Cp\u003E\u003Cem\u003EIt\u2019s more than a buzzword\u2014Big Data is a big deal. And though we\u2019ve been creating, collecting and analyzing data forever, the current explosion in digital technology gives us access to an ever-expanding treasure trove of information that\u2019s changing the way we\u2019re conducting research, making business decisions and much more. Of course, Georgia Tech stands right in the middle of the action.\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EHumanity generates data at a dizzying pace. By 2020, the amount of data created worldwide is expected to hit 44 zettabytes\u2014the equivalent of 40 trillion gigabytes, according to IDC Research.\u003C\/p\u003E\u003Cp\u003EYet some computer science researchers wince at the now-popular term \u201cBig Data.\u201d They point out, correctly, that volumes have been getting bigger for decades, as the cost of storage has tumbled, and as the things we produce and consume\u2014documents, media, business applications and even social interactions\u2014have become digital.\u003C\/p\u003E\u003Cp\u003EAnd if you thought 300 to 500 million tweets per day or 300 hours of video uploaded to YouTube per minute are impressive numbers, hang onto your hat. The tsunami of human-created data will soon be outpaced by a constant stream of data flowing from devices: sensors in smartphones, cars, homes, medical devices and machinery, to name but a few pieces of the rapidly growing Internet of Things (IoT).\u003C\/p\u003E\u003Cp\u003E\u201cOne thing we\u2019re seeing in several domains, is data spiraling up faster than our ability to analyze it,\u201d says Srinivas Aluru, professor of computational science and engineering, and co-director of the Institute for Data Engineering and Science at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.gtalumni.org\/s\/1481\/alumni\/magazine.aspx?sid=1481\u0026amp;gid=21\u0026amp;pgid=6658\u0022\u003ERead the entire article.\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EKalidindi: \u0027Better use of data can reduce the time needed to discover, develop, deploy new materials\u0027\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"GT Alumni magazine explores the impact of big data"}],"uid":"28159","created_gmt":"2016-08-09 09:04:44","changed_gmt":"2016-10-08 03:22:16","author":"Kelly Smith","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2016-08-09T00:00:00-04:00","iso_date":"2016-08-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"560451":{"id":"560451","type":"image","title":"Big Data","body":null,"created":"1470747843","gmt_created":"2016-08-09 13:04:03","changed":"1475895364","gmt_changed":"2016-10-08 02:56:04","alt":"Big Data","file":{"fid":"206771","name":"harddrives.jpg","image_path":"\/sites\/default\/files\/images\/harddrives.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/harddrives.jpg","mime":"image\/jpeg","size":350800,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/harddrives.jpg?itok=HNeH2tZF"}}},"media_ids":["560451"],"groups":[{"id":"217141","name":"Georgia Tech Materials Institute"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"},{"id":"135","name":"Research"}],"keywords":[{"id":"15092","name":"big data"},{"id":"208","name":"computing"},{"id":"1692","name":"materials"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39471","name":"Materials"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}