Intel Advances Next Phase of Big Data Intelligence: Real Time Analytics


Intel® Xeon® Processor E7 v2 FamilyDelivers Industrys Most Advanced Technology


forIn-Memory Analytics to AccelerateMajor BusinessTransformations


Islamabad: February 19, 2014 -To help companies in a variety of industries from retail and healthcare to banking and transportation turn data into actionable insights, Intel Corporation today introduced the Intel® Xeon® processor E7 v2 family.


Using analytics enables businessesto make decisions that improve top-line and bottom-lineresults. The Intel Xeon processor E7 v2 family delivers new capabilities to process and analyze large, diverse amounts of data to unlock information that was previously inaccessible.


Big data and the Internet of Things (IoT) are providing enormous opportunities for many organizations to grow as they create revenue-generating services from the information they are able to derive. The big data technology and services market is expected to grow 27 percent annually through 2017 to reach $32.4 billion4. A leading driver ofthis growth isthe immense amount of data coming from connected devices making up the IoT,which is projected to grow to 30 billion devices by 20204. Investments in the highest performing technologies and analysis solutionscan also deliver significant cost savings. For example, Intels IT organization expects to achieve cost savings and increased bottom-line revenue of nearly half a billion dollars through use of analytics solutions by 2016.

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The Intel Xeon processor E7 v2 family has triple the memory capacity of the previous generation processor family, allowing much faster andthorough data analysis. In-memory analytics places and analyzes an entire data set – such as an organizations entire customer database – in the system memory rather than on traditional disk drives. This method is gaining in popularity due to the increased need for more complex analytics. Industry analyst firm Gartner expects 35 percent6 of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10 percent in 2012 and predicts at least 50 percent of Global 2000 companies will use in-memory computing to deliver significant additional benefits from investments in enterprise resource planning (ERP).

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EBay, one of the world’s largest and most complex online marketplaces,handles massive datasets of more than 50 petabytes (PB) for more than 100 million users. Based on initial testing of the new Intel Xeon processor E7 v2 and SAPs HANA*in-memory analytics software, eBay has seen greater performance7 and understanding of larger data sets that will help drive additional revenue opportunities for its customers.


Built for up to 32-socket8 servers, with configurations supporting up to 15 processing cores and up to 1.5 terabytes (TB) of memory per socket, the new processor family achieves twice the average performance of the previous generation3. These enhancements help businesses that run mission critical applications including business support systems (BSS), customer relationship management (CRM), and ERP to operate more efficiently, at lower cost and with faster response times2. For example, a sales team with these capabilities can maximize revenue by pinpointing the best time to sell a product,or let an oil and gas company better predict whenits platformsrequire preventative maintenance.

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To reduce data bottlenecks, the Intel Xeon Processor E7 v2 familyfeaturesIntel® Integrated I/O,Intel® Data Direct I/Oand support for PCIe 3.0*, achieving up to four times the I/O bandwidth over the previous generation9 and providing extra capacity for storage and networking connections.


System uptime and reliability also remains a key requirement for mission critical applications. The Intel Xeon Processor E7 v2 family continues Intels tradition of delivering world-class reliability, availability and serviceability (RAS). Intel® Run Sure Technology10is designed for “five nines” solutions essential for business-critical data by reducing the frequency and cost of planned and unplanned downtime.

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