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Intel’s Processor to Enable Real-time Analysis of Large Data

Intel Xeon Processor E7 v2to advance next phase of big data intelligence with solutions offering real time analytics

Announcing the launch of the Intel Xeon processor E7 v2 Product Family, Intel elaborated its roadmap for Big Data solutions delivering real time Analytics in India with specific focus on verticals like retail, healthcare and manufacturing in the first phase of growth.

“Big Data which was the buzz word is a reality now. Smart enterprises are adapting Big Data for competitive advantage. At Intel, we are enthused by the Big Data revolution and we take this an opportunity to move away from our core business,” said Rajiv Bhalla, Director- Market Development, Intel South Asia. “The advanced performance, memory capacity and reliability of the Intel Xeon processor E7 v2 family enable IT organizations to deliver real-time analysis of large data sets to spot and capitalize on trends, create new services and deliver business efficiency.”

With up to 80% higher performance and up to 80% lower four year total cost of ownership than alternative RISC architectures, the Intel Xeon processor E7 v2 family also achieves twice the average performance and has four times the I/O bandwidth of the previous generation. This is the true payoff for enterprises investing in big data processing with solutions that analyze increasingly larger volumes of more complex and diverse forms of data and provide real-time insights into results.

Elaborating on the company’s latest solution offering and roadmap, Bhalla said, “The new Intel Xeon E7 v2 processor family is built on an open source framework that allows third parties the flexibility of creating an application layer themselves thereby giving Intel the unique technology edge of allowing IT managers to have better control over their internal IT systems and processes. We are confident that this advantage coupled with the robust support from the ecosystem will help us take this solution to enterprises in the coming years.”

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