The rapid development of the power industry has put forward higher requirements for electricity marketing management. Analyzed the connotation and characteristics of big data technology,and designed a power consumption marketing management system based on this technology. The system adopts a multi-layer architecture,covering data collection,storage,computation,visualization and other aspects. It comprehensively utilizes advanced technologies such as distributed storage,memory computing,stream processing,machine learning,etc.,effectively solving the storage and computation bottleneck of massive heterogeneous data. The performance of the system was tested through simulation experiments,and the results showed that the system can achieve second level query response and ten thousand level concurrent throughput at TB level data scale,providing reliable support for refined marketing management in the power industry.
维普
万方数据