Intel lets big data "ground gas": Hadoop starts with architecture

China is the best practice for big data

Because of China's large market capacity, large data in China has a very good development environment. With Intel's exploration of large data areas, China is at the forefront of the world. Last year, Intel already had some typical cases in China, with the launch of the Intel Hadoop release software, the largest data solution, in the third quarter of last year, a big step ahead of the global market, which was not released until February this year.

Intel Data Center Software Department China http://www.aliyun.com/zixun/aggregation/5343.html "> Chief Technical Officer Miaokai introduced, as early as 2009, Hadoop is still being used as an innovative theme by Intel, and for three of years Hadoop has become a product and has applications in industries such as telecommunications and transportation.

Figure: Intel Data Center Software division China Chief Technology Officer Miaokai

Last year, China Unicom chose the Intel Hadoop release to address the large data problems encountered in the development of mobile phone Internet traffic logging inquiries. This April, Pok Intelligent Network Technology Co., Ltd. and Intel jointly established the "Intel-Pok Intelligent Intelligence City Joint Laboratory."

In response to this trend, the Intel Data Center software division came into being last year, and Intel has launched the Hadoop release software around Big data solutions that have raised questions for Intel.

Is Intel going to do its own application?

Intel is an open company, architecture and solutions are largely open, including large data solutions and open source, according to Zhang Zheyuan, senior manager of the technology sales and data center It's just that Intel spends more time optimizing, developing, directly or indirectly bringing more value to customers on Intel's own platform.

Figure: Intel China Industry Cooperative Solutions service business technology sales and data Center Consulting senior Manager Zhang Zheyuan

Intel is doing software development, not competing with other software companies, and using the software platform to run and optimize the solution to the end user. Intel works with industry solution partners to provide the best solution.

In practice, Intel realizes that it cannot stay in the hardware or infrastructure provider, to provide the final value to the customer in terms of software development and service orientation, so Intel's main business and focus is on the platform and infrastructure.

Software + software, how to cooperate?

All along, Intel's role as a chip manufacturer, and the cooperation of software manufacturers is also a combination of soft and hard, now, the Intel Data center software and the software companies such as Ufida cooperation, Ufida also has a new feeling.

Ufida Medical and Health Information System Co., Ltd. Vice president, Ufida Wisdom Health Institute chief expert Xu Chunhua said, in the entire application software industry chain, ufida positioning themselves in the role of ISVs, to their own products and solutions as their greatest value embodiment. Think of yourself as an application software developer, which means that the end users must use Ufida when there is no way to only use the content of Ufida, it will also involve operating systems, middleware, databases, networks, hardware, storage and so on. However, the complete solution provided by Ufida is the embodiment of this whole, paid to the user.

Figure: Ufida Medical and Health Information System Co., Ltd. Vice president, Ufida Intelligent Health Institute chief expert Xu Chunhua

Intel itself is a chip manufacturer, in the industry based on its chip industry Alliance, UFIDA and Intel cooperation can better solve the PC server level vendor differences.

As a chip manufacturer, Intel's Hadoop release software can be viewed as an operating system or database product, not fundamentally different from IBM's DB2 and Oracle databases, and its database has been optimized for the X86 architecture. It may be necessary to find multiple partners to solve the problem, now in a team can quickly resolve.

(Responsible editor: Fumingli)