Wikipedia defines Big Data as a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.
Companies everywhere today are facing the challenge of dealing with an ever increasing amount of data coupled with the escalating need to deliver insight through analytics in real-time. Data coming from traditional transactional systems, both structured and unstructured, as well as new sources such as social media is overwhelming organizations and limiting their ability to provide insights effectively and with confidence!
Enterprise architects, information managers, and data management and integration leaders often delve into the challenge of "Big Data" and find that the volume of data represents only one aspect of the problem. Gartner says Big Data starts with Quantification and it's not just about Volume, it's about Variety, Velocity and Complexity.
SAS invites you to this breakfast seminar to hear from featured speakers Merv Adrian, VP Research from Gartner and IT Futurist Thornton May, as we discuss how organizations are dealing with Big Data and solving their biggest analytical challenges – including previously hard-to-impossible problems in such a short amount of time as to be business-transformational.