Big Data Application Solution
Beiming Software’s 's big data solution covers all aspects of big data applications, including data collection, organization, processing, storage, computation, as well as mining and analysis. The collection of big data includes the collection of computer data and the collection of IoT and IoV data. Big data is processed, stored, and computed using a distributed architecture model that includes distributed databases, distributed storage (distributed file systems), and distributed computing. Distributed databases include distributed row-based databases, column-based databases, and in-memory databases. Distributed storage and distributed file system support both iscsi and POSIX interfaces. It has a wide range of applicability. The storage and processing of big data can be greatly improved through distributed file system. The distributed computing platform is shared by MapReduce and Spark. It can be selected according to the actual needs of the users. The data mining and analysis platform adopts business intelligence and neuronal analysis methods, which can not only provide users with statistical analysis of historical data, but also provide users with business analysis and prediction. It can provide customers with business decision support and new business directions. At the application level of big data mining and analysis, Beiming Software already has various applications such as public opinion detection and analysis system, medical and health analysis system, and power marketing analysis system. At the same time, Beiming Software can provide customers with new big data analysis and processing systems based on their business conditions.