EMC Li Junpeng: tunneling bokhary Data Cloud Platform is the foundation

The challenge of large data has been widely concerned by the industry, and the so-called "http://www.aliyun.com/zixun/aggregation/14294.html" > Large data products have been springing up, At the same time on the big data of the confusion and controversy, which also makes users feel at a loss. A few days ago, EMC Senior product manager Li Junpeng, a large data and storage expert from EMC, came to the IT specialist's "guest room" to answer some of the misconceptions and doubts about big data, and gave us a way to translate the potential value of large data into real business value.

Li Junpeng said that large data itself is a problem set, cloud technology is the current solution to large data problem sets the most important and effective means. Currently recognized as the most effective means of processing large data distributed processing, is also a concrete reflection of cloud computing ideas.

Li Junpeng points out that cloud computing provides an infrastructure platform for large data applications to run on this platform. Cloud computing brings the transformation of it, and the big data is the transformation of the business. It transformation is to prepare for business transformation, is to achieve the basis of business transformation. Cloud computing, he argues, provides the foundation for large data applications, and without the infrastructure of cloud computing, it is impossible for companies to derive greater benefits from large data.

In other words, to benefit from large data technology, the traditional IT information infrastructure at the bottom of the enterprise must be changed, transformed, and virtualized from the current physical data center to the infrastructure, including servers, networks, storage, resource pools, and large data applications based on virtualized infrastructures.

Virtualization is also the foundation of cloud computing, but there are some concerns about virtualization technology. As some experts believe, server virtualization technology is still not mature enough, such as the application may not support virtualization, such as the virtualization environment of events and data monitoring will become difficult with the application in-depth, affecting the real-time data scale analysis.

In this respect, the virtualization of x86 based servers and storage based on x86 architectures is quite mature and convenient, and the number of applications that support virtualization is much more, and virtualization can also provide a horizontal scaling system for collaborative processing of structured and unstructured data. Therefore, a large data analysis platform based on the cloud infrastructure will further promote the application of large data.

(Responsible editor: The good of the Legacy)