Bruce D. Weed, program director of Worldwide IBM Big Data Business Development, talks about the key components of the IBM big data platform*—featuring the Intel® Xeon® processor E5 family. Learn about the four main components of IBM big data: IBM InfoSphere BigInsights*, InfoSphere Streams*, InfoSphere Information Server*, and data warehouse appliances. Find out about 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.
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Irshad Raihan explains how HP solutions for big data*, built on the Intel® Xeon® processor family, deliver value quickly and cost-effectively to companies analyzing both structured and unstructured data. Take a closer look at the HP solutions that are helping them overcome those challenges. You’ll also learn more about the two recent acquisitions that allowed HP to deliver powerful analytics software. And you’ll see how all these technologies work together to give you proven return on your investment through insights we derived from structured data, additional insights provided through unstructured data, and the initiatives that your organization is able to put into action thanks to those insights.
Learn how HP can help you get return on your big data investment >
Kimberly Billings and Manan Goel from Oracle explain how Oracle big data solutions* deliver a uniquely integrated, end-to-end approach to big data acquisition and analysis. Get an overview of the company’s big data technologies, including Oracle Big Data Appliance*, Oracle Big Data Connectors*, and the Oracle R Enterprise* component. Learn more about the Oracle Exalytics In-Memory Machine*—the industry's first in-memory analytics appliance. Find out how Oracle’s engineered systems, Exadata*, Oracle Exalogic Elastic Cloud*, and Exalytics* are specifically designed to take advantage of Intel® x86 architecture.
Understand Oracle’s end-to-end approach to big data analytics >