After collecting, de duplication, classification and storage of multi-source data, DNC harassment telephone management system uses mature big data technology to conduct data mining and analysis, and shares the effective data obtained from analysis to external enterprises or connected external call control system, so as to achieve the purpose of interception and effective control of harassment calls.
Overall system architecture
Data collection, data cleaning, data storage and data analysis are carried out for user intention registration and enterprise list through various channels, so as to realize the ability of efficient data processing and analysis.
Data acquisition: the system provides different protocol collection methods for data collection, and supports FTP collection, SFTP collection, HTTP collection and MQ collection protocols.
Data processing: Kafka, Spark, Redis, Elasticsearch, HBase and other big data processing technologies are used to ensure the storage, analysis and efficient response efficiency of a large amount of data.
It can provide data management, data query, statistical report and data sharing services of relevant modules. The system can provide multi-mode access to the outside world, and has the ability to query external data services, as well as data visualization and data distribution and sharing.
Provides service window and data service capability for different users of system access.