{"id":28008,"date":"2016-01-05T10:17:59","date_gmt":"2016-01-05T10:17:59","guid":{"rendered":"http:\/\/www.zemsania.com\/?p=14400"},"modified":"2022-12-23T11:39:24","modified_gmt":"2022-12-23T11:39:24","slug":"big-data-challenges-2016","status":"publish","type":"post","link":"https:\/\/zemsaniaglobalgroup.com\/en\/retos-big-data-2016\/","title":{"rendered":"Big Data Challenges for 2016"},"content":{"rendered":"

The past 2015 was a year marked by profound global changes at the technological level and by the investment that companies have made, aimed above all at digital transformation. Specifically, Big Data has been one of the paradigms that has become more important in most business sectors, allowing the management and analysis of huge amounts of data as never before raised. In this article we will talk precisely about the Big Data challenges for 2016<\/strong>, In other words, the main areas where companies and administrations will be focusing their attention in the coming months.<\/p>\n\n\n\n

Before we start, we should take into account how consumer habits have changed over the past year. The fact is that 2015 was a record-breaking year: it was the first time that the mobile devices<\/strong> became the most widely used media for users to connect to the Internet, thus displacing the typical desktop computers. With this change, we can understand why it is becoming increasingly important for companies to manage the volume of data they collect from mobile devices and other channels, such as the information emanating from the so-called Internet of Things, as we will see below.<\/p>\n\n\n\n

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