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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. Hear what the IT decision makers who HP talks to have identified as the biggest challenges of big data. Then take a closer look at the HP solutions that are helping them overcome those challenges. These solutions include four major components:
• HP ProLiant* Gen8 servers powered by the Intel Xeon processor family
• HP Insight Cluster Management Utility (CMU), a utility for deploying and managing Linux*-based nodes in large clusters
• The HP A5830 Switch Series for extremely high-bandwidth, high-speed networking
• The Hadoop* distribution of choice, which offers the end-to-end management for Hadoop
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.
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Arista and Intel engineers cover Apache Hadoop* advantages, emphasizing compute-network-storage balance.
Intel and Oracle work together to help you acquire, organize, and analyze the flood of structured and unstructured big data coming into your business.
Shows how Hadoop* clusters analyze big data more effectively over Intel® 10Gb Ethernet.
Identify meaningful relationships and trends to unlock insights using efficient data graphing tools.
Apache HDFS* overview.
Apache MapReduce overview.