An optimized distributed OLAP system for big data

Abstract

To solve the problems of heterogeneous data types and large amount of calculation in making decision for big data, an optimized distributed OLAP system for big data is proposed in this paper. The system provides data acquisition for different data sources, and supports two types of OLAP engines, Impala and Kylin. First of all, the architecture of the system… (More)

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