by Angela Guess
Jeff Bertolucci of Information Week recently wrote, “Big data is all about gaining insights from very large and diverse volumes of information. But often organizations make the mistake of trying to collect every bit of data that’s available to them, no matter how inconsequential. This record-it-all approach is a waste of resources and money. A smarter solution is to decide beforehand what data is essential to your operation, and then take the necessary steps to collect, process, filter, and analyze it, says Joel Young, senior VP of research and development and CTO of Digi International, a machine-to-machine (M2M) solutions provider.”
He goes on, “Founded in 1985, Digi International has evolved from a supplier of multi-port serial adapter cards for servers to a cloud platform for connecting devices. The company’s cloud-based iDigi product, for instance, allows organizations to connect and manage device networks. In a phone interview with InformationWeek, Young said that companies are often overwhelmed by big data, particularly if they lack a clear definition of how they want to use it. Machine-to-machine communications, which may involve hundreds, if not thousands, of devices spread across a wide geographic area, can exacerbate this problem. ‘When you have a device that’s sending information every second or minute, and you have a hundred thousand of these, you get a lot of data very quickly,’ said Young. Some companies aren’t confused by big data because they have a clear idea of what they want to do, and how they want to do it. ‘Others are lost,’ Young said.”
photo credit: puuikibeach
[...] Angela Guess Big data doesn’t mean saving everything. [...]