"Big data" is a popular term generally used to acknowledge the exponential growth, availability and use of information (structured and unstructured). A lot has been written lately on big data trend and how it will become a key basis of competition, innovation, and growth.How does SAS define or view the term “Big Data”?Big data is a relative term (and not an absolute term) - when an organization’s ability to handle, store and analyze data (from a volume, variety and velocity perspective) exceeds its current capacity (i.e. beyond your comfort zone) then it would qualify of having a “big data” problem.
SAS High-Performance Analytics is delivered as a pre-configured analytics appliance. It includes analytical capabilities spanning data exploration, modeling and scoring from SAS delivered on either Teradata or EMC Greenplum database appliance to solve complex problems in a highly scalable, distributed environment using in-memory analytics processing. It will let customers develop and deploy analytical models using complete data – not just a subset or aggregate – to get accurate and timely insights and take well-informed decisions. It does not limit analytic professionals to using simplified analytical methods for solving complex problems. Compresses or shrinks the time from model inception to model deployment and derive rapid insights to make well-informed decisions or before the questions become obsolete!SAS High-Performance Analytics will include a select set of procedures from following SAS products: Base SAS, SAS/STAT, SAS/ETS, and SAS Enterprise Miner. A SAS 9.3 client interface manages the submission of high performance enabled problems to the compute grid (appliance) for execution.
Use all the entire suite together? Adding our highly optimized advanced analytics to the process can help you generate answers to quesitons you never thought you could ask. (Note: at this point you should tie back to the “so what if you could” story you started before.Our suite allows an organization to move to “now you can”!
