Large data entering the blooming era needs to build an open ecological circle

Just as the cloud began to fall, the big numbers appeared in new faces, causing a new gimmick to emerge.

Song, president of VMware's Greater China region, looks similar to the cloud-computing scene a few years ago. Http://www.aliyun.com/zixun/aggregation/13638.html "> Cloud computing has been on the ground for years, and cloud computing is not only a technological breakthrough, but a promising future for business operations."

In the next 10 years, the volume of global data will increase 4 times times, visible large data scale. With the rapid changes in customer demand, data services are also changing. "Therefore, how to extract information from the data that is useful to the company's business, to help the company improve operational efficiency is critical, large data is great value." ”

Large data qualitative critical point

With the high demand for large data from customers, the support of the cloud is inseparable. Chai Hanhui, EMC Global vice-president and China president, believes that big data and clouds should be benign interactions, and that large data must have a cloud as the infrastructure to operate smoothly.

He made an analogy. If the cloud is a highway, then the big data is the supercar, there is no such a highway, large data such supercar can not run. "When people have a high demand for big data, the Super sports car, cloud This highway will continue to develop, to form a benign interactive relationship." ”

The data have been going on for years, and the annual growth rate has basically doubled. Previous technologies have been able to manage previous data better, but once they reach a tipping point there is a qualitative change. At present, it is the process of mass data from quantitative to qualitative change. Therefore, new technologies must emerge to meet the new order of magnitude data requirements.

Data center starts leading software applications

Data centers are starting to play an increasingly important role in a software world from a hardware-led world.

Fan, senior global vice president of VMware, said that because more and more applications are now data-driven, they need to provide a unified infrastructure that meets both computing-led applications and data-driven applications.

30 years ago, the traditional architecture was a relatively single physical architecture without cloud computing and virtualization, and many important data were intercepted in different ways for storage and application analysis. However, as the data becomes larger, only high-energy servers or storage devices can be lumped together to analyze the data.

"Now that the new cloud is no longer a physical institution, it needs virtualization technology to integrate the entire computing power and storage capabilities into different resource pools." At the same time, the key data storage and processing. ”

Big data needed to create an open biosphere

In the past few decades, Oracle has established a state of unified, but it will not last long. Now with the wave of large data subversion, a single big technology has been unable to meet all the data needs, the big data hundred the era began to come.

In Chai Hanhui's view, large data success requires a large ecological group to support, rather than a factory independent can lead the technology direction. At the same time, the most basic way to build this biosphere is to be open.

When it comes to challenges, the cloud is the foundation of large data, the cloud is based on virtualization, and virtualization has a higher demand for the performance and scalability of the unified data analysis platform.

(Responsible editor: The good of the Legacy)