{"id":11673,"date":"2016-03-29T09:00:08","date_gmt":"2016-03-29T13:00:08","guid":{"rendered":"https:\/\/www.kaspersky.com\/blog\/?p=11673"},"modified":"2017-09-24T08:07:39","modified_gmt":"2017-09-24T12:07:39","slug":"nine-big-data-issues","status":"publish","type":"post","link":"https:\/\/www.kaspersky.com\/blog\/nine-big-data-issues\/11673\/","title":{"rendered":"Big data flaws we need to address"},"content":{"rendered":"

In the past few years there have been a lot of discussions surrounding big data. These talks generally centered on the amazing opportunities that the technology provides. The byproduct of these discussions is that the use of big data can be somewhat scary. While we agree that big data is amazing, much like any emerging technology it contains some issues. In this article, we\u2019ll a look what could potentially go wrong with big data implementations.<\/p>\n

\"Big<\/a><\/p>\n

No privacy for you!<\/h3>\n

Generally, when people think about possible issues of big data, the first and often the last thing that comes to mind is privacy<\/b>.<\/p>\n

The name speaks for itself: Big data relies on gathering a lot<\/em> of information, and the more private this information is, the more efficiently algorithms can reach some non-obvious conclusions. To put it simply, private data is the fairy dust of all that mighty Big Data Magic<\/em>.<\/p>\n

This fairy dust tends to be scattered frequently and gets stuck in some dark corners and so on and so forth. However, it is more than that: there\u2019s a whole set of less trivial issues, which are tied to each other in a complicated way.<\/p>\n

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For #DPD15<\/a>, we look at 2014\u2019s top data leaks on Kaspersky Daily. https:\/\/t.co\/lEpy81gdBl<\/a> #databreach<\/a> #cybercrime<\/a> pic.twitter.com\/XITXMW9NLe<\/a><\/p>\n

\u2014 Kaspersky (@kaspersky) January 28, 2015<\/a><\/p><\/blockquote>\n