Due to the low efficiency and poor real-time performance of actual query in big data, this paper puts forward a new multidimensional big data real-time query mode which is based on a dynamic indexing structure and the corresponding real-time query and dynamic insertion algorithm. It utilizes the Z curve to reduce dimension of multidimensional data, adopt Bloom Filter realize discrete storage and parallel computing, Meanwhile it enhances the real-time performance of data by using dynamic indexing structure DC-Tree. The results of experimental show that the model not only improves the query efficiency of big data, but also improve the real-time effect of data.
['Dan-Wei Chen', 'Jun Zhuang']
A Real Time Index Model for Big Data Based on DC-Tree