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Bruce D. Weed, program director, Worldwide IBM Big Data Business Development talks about the key components of the IBM* big data platform—featuring the Intel® Xeon® processor E5 family. You’ll see how the company is using these solutions to help its customers build a smarter planet. Learn about the four main components of IBM big data: IBM InfoSphere* BigInsights, InfoSphere Streams, InfoSphere Information Server, and data warehouse appliances. See how all these components work together to deliver secure and scalable processing and analysis of large amounts of data at high velocity. Find out the top use-case scenarios for the solution, including a close look at how one of IBM’s customers reduced modeling time from weeks to hours.
Intel and Oracle work together to help you acquire, organize, and analyze the flood of structured and unstructured big data coming into your business.
Arista and Intel engineers cover Apache Hadoop* advantages, emphasizing compute-network-storage balance.
Key findings from big data analysis research.
Paul Kent discusses SAS’s approach to big data, how integrating analytics will change the market.
SAS’s Paul Bachteal discusses self-service data analytics and delivering faster real-time insights.
As part of the Pecan Street demonstration project, Intel-based servers analyze big data from each building in the Mueller community in Austin, Texas.