Big data. It’s a popular term used to describe the exponential growth, availability and use of information, both structured and unstructured. Of course, the term big data is relative; it applies whenever an organization’s ability to handle, store and analyze data exceeds its current capacity. And the real issue is not that organizations are acquiring large amounts of data. It's what they do with their big data that matters.
If you want to learn more about the topic and what to do with your big data, the recently launched big data page on sas.com is a great place to start. It illuminates the many uses of big data, outlines big data solutions from SAS, features customer testimonials, links to a big data white paper and provides a wealth of additional information.
If you sort through all the content on the big data page but still want more, consider the following news coverage:
In a recent interview with The Economic Times, Jim Goodnight explains how high-performance analytics will enable organizations to create greater business value from big data.
In a video interview with InformationWeek's Doug Henschen, Goodnight discusses the correlation between big data and the growing interest in analytics, sharing that SAS has been working with big data for many, many years.
Jim Davis talks about how to transform big data from an obstacle into an asset in a recent blog from The Corner Office.
Glean 10 big data insights from technology rock stars at last month’s Ideas Economy: Information event put on by The Economist.
In a recent Forbes article the EMC’s president and COO of information infrastructure products writes, “Data is the new science. Big data holds the answers. Are you asking the right questions?”
Another article in Forbes reinforces the notion that big data is an issue of corporate survival. “The drive toward big data is being led by the lines of business, not IT,” says Luke Lonergan, Greenplum co-founder and CTO.
Lindsay Beth Gunter contributed to this post.