Analysis of larger facts of large data

The huge potential market in the business sector has enabled large storage vendors, such as EMC, IBM and NetApp, to focus on market opportunities for big data. Each vendor has released (or is around the corner) designed for http://www.aliyun.com/zixun/aggregation/13452.html "> Distributed computing Environment of storage systems, in the manageability, Scalability and data protection help users overcome HDFs deficiencies. Most of these can replace the HDFS storage layer with open interfaces, such as NFS and CFS, while others provide their own version of a simple, mapped framework that provides better performance than open source distribution. Some provide features that can fill open source HDFs differences, such as the ability to share data between other applications through standard NFS and CFS interfaces, or data protection and disaster-recovery capabilities.

NetApp takes a completely different approach. It has built-in open source distributed computing standards and uses DAS on data nodes. Unlike using proprietary file systems in the name of distributed computing, NetApp uses SAS-connected JBOD as Das on low-end Engenio platforms. In the case of named nodes, it uses an NFS direct-attached FAS box to provide a quick recovery from a fault-named node. This is the "best in two areas" hybrid problem solving approach.

It is still too early to say whether markets will be willing to buy more reliable or more promising tools.

Large data is real and varied: different types of large data require different storage methods. If you're already facing problems with big data, and you're facing some obstacles, that means you should take a different approach, and the best way to talk to suppliers about demand is to focus on the problem itself rather than on the topic of big data. You should talk about business issues and case situations, which help to refine the problem to a particular load. So you can quickly find the corresponding storage solution.

(Responsible editor: The good of the Legacy)