15 core chip + data platform, Intel software and hardware Hadoop strategy

Recently, the launch of the new Xeon processor has once again raised concerns about Intel. Intel's foray into the big data market is no longer news, and last year Intel began to improve hardware and software to meet the needs of "big data" processing, which recently injected large sums of money into the Chinese market and built a data platform aimed at communications, finance and IoT industries. From a series of actions that show Intel's vows to compete with Microsoft, Google and Amazon, Saroj Kar, an analyst, has brought us his insights into Intel's data platform.
Intel officially launches the 15-core Xeon E7 V2 chipset for servers and high-end workstations to help businesses achieve real-time analysis of large volumes of fast-moving data.
Nearly 20 hardware partners have signed agreements to support the Intel platform, including Asus, Cisco, Dell, EMC, and Lenovo. On the software side, Microsoft, SAP, Teradata, Splunk and pivotal have also supported the new Xeon series. Rivals IBM and Oracle support both Xeon E7 V2 and competition.
Intel devotes a great deal of effort to improving the large data processing capabilities, and promises a new Xeon E7 v2 chipset performance one times higher than in the previous generation. The
Xeon E7 8800/4800/2800 v2 product family is used to support servers with up to 32 interfaces with 15 processing cores, each of which allocates 1.5TB of memory.
The powerful performance of the chip gives Intel a "leading position" to compete with rival AMD's x86 chips and IBM's power series chips. Compared to IBM's RISC processor chips, the performance of the new chips increased by 80%, while the TCO (total cost of Ownership,tco) decreased by 80%. Compared with the previous generation of Xeon products, Intel's new processor chip bandwidth input and output performance is four times times the memory capacity of the previous generation three times times, in addition, the chip also refreshed 20 key mission performance records.
Shannon Poulin, vice president of Intel Data center, predicts that the memory database will run more than 140 times faster than the CD server system. And the new Xeon chip not only expands in memory 3 times times, but also has 15 processing cores. In addition, the chip also has a strong stability, can adapt to high-end servers and large workstation needs.
only paranoia can survive, and Intel has certainly done the ultimate in the pursuit of processor speed. But Intel has not been looking at the processor, but has entered a strange field, and the competition is brutal.

Intel Data platform is a set of Intel's Open-source software designed to simplify and accelerate large data processing to help businesses maximize their investment benefits in the larger field. The
platform provides an open environment for importing, managing, and analyzing large data and includes new features for data processing (interaction, iterative analysis, and processing graphics). Intel data platforms can be applied to retail businesses, such as analyzing data from social media, or store and inventory purchases, to evaluate the effectiveness of a new product's marketing strategy.
Intel says the data platform is primarily an operating system designed for large data processing, supports a wide range of applications, and provides a high level of protection that gives users of open source solutions a sense of security.
The company also released a new data Analysis Platform Toolkit (Intel at the data platform) to create a graphical analysis environment and predictive model configuration that enables organizations to discover information in hidden data. Combined, these features enable companies to extract value from data in a variety of ways, rather than just using Apache Hadoop software. The
user chooses the Intel Apache Hadoop release, in fact, considering that the platform will be more efficient than other platforms because it will be optimized by the latest Xeon processor. Intel provides software for fast encryption and decryption of data (developed specifically for the Hadoop platform), and AES algorithms are used for better security.
for real-time streaming data processing, in a fully integrated environment, many companies, including communications companies, will be able to analyze large amounts of information to meet customer needs in order to provide personalized advice for new products and services. The
Toolkit provides a basis for a typical algorithm, including network clustering and cluster based configurations that IT professionals can adjust and use. The simple implementation of the algorithm can be widely used in various industries, including the financial industry, health care and retail. The toolkit also includes an improved development environment for classic solutions for computer training to facilitate programmer work.
research firm Gartner says large data analysis will play an important role in the detection of crime and delinquency. By 2016, more than 25% of the world's companies are expected to apply large data analysis to security and fraud detection. Data processing specialists working with financial services companies can use Intel's complete set of tools to obtain valuable information, such as fraud and business transaction information.
The Enterprise and advanced editions of the platform will be released in the next quarter, with appropriate technical support for each version. The Enterprise Edition will provide all the features of the platform free of charge, the Advanced edition will pay the subscription fee each year, and the corresponding additional technical features, including advanced automation, security correction and early warning features, continuous updates and telephone hotline technical support.
New Intel platform for large data will face many other solutions on the marketProviders of competition, including Microsoft, Google, Amazon and so on. Microsoft has revealed that a Hadoop service based on Azure Cloud, also known as Windows Azure Hdinsight, will support open source projects.