Research on the application of cloud-based scenic spot Data Warehouse
She Fowei Liang Changyong Marbangshau
The development and application of new information technology, such as cloud computing, IoT, large data and so on, are also challenging for the effective utilization of the massive information resources of scenic spots while improving the information service level of scenic spots. In the face of large scale and unstructured data, the traditional data warehouse based on relational database is difficult to support the data storage and analysis of the scenic spot effectively. Based on this paper, a kind of scenic spot data Warehouse based on cloud computing technology is put forward, through using HDFS to carry on distributed storage management of data, using MapReduce to design massive data analysis mode, using HIVEQL language to realize the interaction between data warehouse and front-end performance layer. It can effectively solve the problem of data management of massive data in scenic area. The experimental results of Huangshan scenic spot as the actual background show the correctness and validity of the Data warehouse.
Research on the application of cloud-based scenic spot Data Warehouse