Foreword
Any applications are inseparable from the processing of the data, the data also drive business innovation and the core of the intelligent thing to develop. This is why most companies are currently building the cause of data sets, data processing technology has been the core competitiveness. In a complete technical architectures, also typically formed of the application system and a data system. The system is responsible for processing the application business logic, and data system is responsible for processing the data.
Traditional data systems is the so-called "big data" technology, which is a term was coined, represents a new technical threshold. In recent years, a wide range of applications benefit from the development industry, business innovation, the explosive growth of data and open source technology, after years of training and, in the majority of developers to build large data core components and technical architecture matures . Especially with the development of the cloud, so that the threshold of using "big data" technology to further reduce the growing number of business innovation will be driven by the completion of the data.
"Big Data" technology will gradually develop in the lightweight and intelligent direction, will eventually become one of the essential skills of a research and development engineer, and this process must be driven by cloud computing technology and in