Intel's foray into the big data market is no coincidence.

From last year to talk about the broad "cloud computing", to the IDC 2012 as a large data, from unstructured and semi-structured data composed of large data and enterprise users of the distance closer. In 2011, big internet companies such as Facebook and Taobao have started to test large data-running fields. Large data from the initial transmission to the middle of the storage to perform the calculation analysis, and finally to optimize the user experience of the visualization of the display, the process of the value of the discovery of the development of the market to the manufacturers desire to increase. And the large data from the data analysis into the value of information is not a mouth determined on the light and easy to take things. Mining large data value requires not only technology but also insight and collaboration. There is no doubt about the high level of user demand for large data values, and it is not a question that vendors are responding, or looking for business expansion opportunities. Manufacturers to provide users with large data technology services while achieving both benefits and growth, le? So how will Intel's large data technology and services, market share and future trends be presented as the IT mainstream?

High-performance computing and large data are the power to drive innovation in networking and storage. For the information age, turning data into information to help companies make decisions, the ultimate goal is to turn the data into wisdom. --Beanna, general manager of Intel Corporation Global VP Data Center and interconnected Systems Division

On IDF2012, Beanna points out that large data trends are irreversible for businesses, and Intel is also working with partners to push large data solutions while digging and developing related technologies. "I hope to be more intelligent with interconnected devices." Now provides the relevant solution, the related edge solution. For example Guavus, there are open source expertise, open source approach, Hadoop map retrieval, file distribution systems, and our biggest partners to drive some data analysis solutions. For example, SAP, Oracle's products are dedicated to the use of strong processors, we continue to innovate in the data. Because we see a rapid increase in the volume of unstructured data. We have to turn unstructured data into good intelligence, making it a real solution for companies. ”

At the second major data World Forum in recent days, Mr. Ling, director of China's Industry Cooperation and Solutions division of Intel China Limited, talked about big data that played a pivotal role in the mining of the business value of the telecoms companies, the financial industry or other enterprises. Mr. Ling said Intel is currently working on a number of research and development projects from data collection to data analysis and data presentation, with the aim of providing better hardware support, optimal solutions, and intellectual support for data analysis companies, software applications, and solution providers.

The future value of large data is immeasurable, given the commitment of Intel's global executives to specific product service lines and the current trend of IT environments. And as the leading hardware-supporting outstanding vendors, Intel's foray into big data is by no means accidental.

Large data concept and market situation of large data

Throughout the industry, professional unprofessional data of the various conclusions, its contents are as follows:

Enterprise internal business production data + external related business Data + customer analysis data + social media data. Large data is characterized by 4v+1c, i.e. produced (diversity), Volume (large scale), velocity (high speed), vitality (strain), complexity (high complexity). The production of large data is accompanied by the expansion of business needs, full media Open Data flow, the data volume and complexity of the network of things, and so on, and so on the status quo will make large data for a long time in the future sweet cakes.

As an emerging market expansion area, because of the technical threshold reason, the mining large data value needs to understand the business intelligence analysis, but understands the data research talent shortage is the current big data market faces the biggest bottleneck. According to a study by the McKinsey Global Research Institute, the next 6 years will be a dilemma for the United States: there will be a shortage of 14.19 million in-depth data-capable talent, as well as a gap of 1.5 million data managers and analysts who can analyze large data and make effective decisions for businesses. Data analysis personnel's salary has been high in the absence, but the right position personnel gap is increasing, the human cost can not be solved, the big data market stride is struggling. The data authenticity that comes with it is also easy to question.

Intel's ability to analyze large data markets

The prospects and value of large data, professional and unprofessional people are optimistic, but the driving force in the current seems to keep up with the thinking of the avantgarde. Among the big data makers, the number of vendors is still small, in the big data market, still the traditional mainstream it vendors occupy the supremacy, according to the 2011 data, in the large data market, Intel operates at $765 million trillion, after IBM's $1 billion trillion, and Intel is notable for big data technology development:

"1" optimizes Hadoop, realizes the enterprise to distribute massively and the data key establishment real-time implementation, installs and the simple configuration operation.

"2" In the analysis layer, interface and tools, the Intel architecture client and server side development to provide analytical calculation of the required performance and scale.

The advantages of "3" I/O technology, integrated I/O and Intel Direct I/O technology, can meet the current multiple growth of data traffic, and faster to the data-hungry applications to provide data and increase the bandwidth of the data center.

"4" in the built-in technology level, Intel Core-Frequency Acceleration 2.0 technology, Intel Hyper-Threading Technology and virtualization technology can support IT departments to dynamically upgrade infrastructure performance.

The introduction of the "5" Intel IPT Technology (Identity Protection Technology) in data application and presentation will provide the final application with coverage to ensure security.

In addition, according to Mr. Ling, Intel's associated industry ecosystem in the application layer and the visual layer will provide the best application and visual presentation environment, and its latest storage architecture will also assist in the processing of large data.

Big Data Market Intel's breakthrough Path

Although at present, the big data market because of technology and talent gap, the actual speed of development is not as fast as imagined, but its huge development potential and prospects are indeed the choice of the manufacturers to integrate. Intel at the IDF conference this year showed that a massive push into the big data field remains vivid. How to Win? In the large data field can also do in the Processor field a solo show? The author believes that Intel can try to start with the following:

"1" As a processor, do chip thinking big data, innovation is the source of continuous progress. And everyone is talking about innovation, how to get more benefits, the key in innovative technology or the product can win the favor of many users. The early analysis of the needs of users is very important. Accurate analysis of precision technology and services, only precision marketing, to obtain accurate benefits. This is the result of the analysis of the general, must be precise.

"2" is good at collaboration. Intel is a stunning ecosystem built in enterprise-class product technology, especially in its cloud-building programs and data center alliances. The good cooperative ecological circle cycle balance, casts the cloud vision the step by step approximation. And the influx of large data markets, Intel is still inseparable from the support of many partners on its platform. Working together, how to collaborate, and how to maximize collaboration, Intel needs to do its job early in the big data.

"3" investment needs to be cautious. Intel issues its research and services to invest in large data solutions without denying that its ideas are highly valid. The integrated solution service is to simplify the user's burden and improve the performance of the user experience. and invest in what? How to invest? Early risk assessment as far as possible in place. Despite its own strong, although the big data market at present the mainstream manufacturers are not many, but also do not forget that can survive are the master, very competitive opponents.

(Responsible editor: The good of the Legacy)