Using cloud computing for big data

Using cloud computing for big data analysis, first of all, the data is based on the cloud. The purpose is to solve the problem of a large number of data transmission in the cloud, so several Wan combination technology methods appear. Compression, data De duplication, caching and protocol optimization are all technologies developed through combination. Compression can make Wan work easier. We usually use compression when we send data. Another way to reduce the size of data transmission is to delete part of the data. For the transmission and storage of big data, we have certain requirements for the network, chip and other related hardware and software to store and transmit data. In order to expand the data transmission and storage, and speed up the development of software and hardware involved in other cloud computing. In terms of technology, for big data processing, we need to process data under the distributed cloud computing, using distributed database and cloud storage, virtualization technology.