Complete spatiotemporal big data governance system

●Establish a standardized spatiotemporal big data governance process to provide high-quality data sources for spatiotemporal big data analysis

●Data aggregation supports fast access and aggregation of spatiotemporal big data from 20+data sources and 100+data formats

●The data directory provides visual directory rule configuration, and implements intelligent search and blood tracing based on metadata

●Data processing provides different types of spatiotemporal big data processing tools to meet the fast processing requirements of spatiotemporal big data 

●Quality control is based on the quality control standards of spatiotemporal big data, customizing quality control processes to ensure that spatiotemporal big data is controllable and verifiable

●Establish a controllable security warning mechanism to enhance the security protection capability of spatiotemporal big data

Rich spatiotemporal big data distributed services

●Vector big data service integrates GIS spatial analysis with Spark framework to provide rich distributed vector big data analysis services

●Image big data services, based on embedded datasets, provide image big data services, effectively improving the processing and analysis efficiency of large-scale images

●Real time big data services, providing real-time big data services based on Spark Streaming/Links, enhancing real-time data access, processing, and analysis capabilities

●Text big data service, providing distributed text big data services, supporting dynamic word segmentation and semantic association, quickly extracting and mining information

Convenient distributed processing flow engine

●Provide a distributed processing flow engine, based on a visual modeling environment, to quickly build geographic processing models through drag and drop methods

●Provide distributed big data analysis operators covering multiple data types, including vector, image, real-time, text, and machine learning

●Provide 300+big data distributed processing operators to meet the processing needs of complex tasks in multiple scenarios

●Add Bayesian training prediction, time series prediction, pipeline leakage calculation, GeoSOT grid partitioning and other operators, and establish GP workflow services such as pipeline status assessment, pipeline leakage location, and mineralization prediction

●Support free extension of components, customization of business models, and reuse based on new business processing requirements