Research on the Spatial Big Data Platform Scheme Considering Multi-Dimensional Point Data Processing

In recent years, spatial big data has attracted great attention from industries and governments. The big data technology of spatial information provides a powerful means for government and enterprise decision-making. However, spatial data has the characteristics of wide distribution, complex structure and huge volume, and contains a large number of special forms of multidimensional data. The integrated application of these spatial big data needs to rely on the corresponding spatial big data platform. This paper focuses on the research of the construction scheme of the spatial big data service platform, and forms a set of reliable and practical platform construction scheme. In particular, considering that spatial information contains a large number of multidimensional data, this paper adopts the spatial data processing method to reduce the dimensionality of multidimensional data into one-dimensional coded data. This can not only reduce the difficulty of data storage and correlation complexity, but also realize the effective protection of location information.