The browser version you are using is not recommended for this site.Please consider upgrading to the latest version of your browser by clicking one of the following links.
We are sorry, This PDF is available in download format only
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.
Identify meaningful relationships and trends to unlock insights using efficient data graphing tools.
Complementary big data solutions for enterprises
Introducing an automation tool for rapidly preparing data for analysis so scientists can speed mining.
How businesses can use its versatility and scalability to mine answers through object relationships.