一种基于MapReduce的影视大数据处理方法

he development of Mobile Internet, social networks and other emerging services promote data types and the total amount of data explosive growing in human society. The arrival of the era of big data, data is not only simply to be processed but be given a new meaning, which has brought a serious challenge to the data processing. A brief description will be given about the challenges and opportunities of big data. This paper introduces the core ideas and running process of the MapReduce programming model, and compares the characteristics of the MapReduce programming model with parallel database technology. The application of MapReduce programming model in the large data system of the movie and television will be an example. As a kind of parallel programming model, MapReduce programming model plays an important role in large data processing.