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Data fusion processing realizes the association and integration of multiple and heterogeneous data sources. Through data fusion processing, data loading, conversion, cleaning, stratification, quality analysis, encryption or desensitization, integration, reduction, etc. are completed.

Data storage centers store a large amount of information in the field of industry through various resource repositories for convenient allocation of storage space required by the business system, storage of large amounts of data according to business logic classification and data model, and complete data protection.

We adopt scientific methods to manage data resources to ensure the safety and accessibility of data. To this end, we standardize data from the source for data analysis and application, and promote the efficient utilization of data sets. The main functions include metadata management, data catalog management, data resource verification, data release, data query, and data export.

Unified management of various data processing tasks, using different processing containers for different processing tasks (algorithms), and executing on time (active trigger, timing trigger, real-time) and on demand (flexible scheduling of computing and storage resources). The main functions include task management, task configuration, task execution, task query, scheduling monitoring, and scheduling log.

Data quality management system integrates data quality detection, exception processing, and report generation. It provides identification, verification, processing, monitoring, warning, reporting, improvement, and a series of management activities in response to all kinds of data quality problems from the collection, storage, sharing, maintenance, application, and death of each stage of the life cycle.

The system monitors the overall operation of the whole data resource center and supporting environment through various indicators. By setting the alarm threshold for each indicator, the indicator exceeding the threshold value can be alerted in time to ensure the normal operation of the data resource center.

The data sharing and exchange system unifies the control of data. By sharing the fused data with all business departments, it meets the needs of different systems to share information and collaborate business. It helps to strengthen the management of information resources, to carry out data and application exchange, to further leverage the efficiency of information resources and application systems, and to enhance the supporting role of information construction for business and management.

Full-text retrieval system can retrieve all text contents of data source. It involves four steps: extraction and indexing of data source text content, analysis of retrieval conditions, index matching, and sorting and output of matching results. Data can be found to meet the conditions and requirements with an accuracy to the field. The main functions include directory retrieval, file name retrieval, keyword retrieval, and combination retrieval.

Data visualization system provides fast and convenient report and large screen visualization production. It can support a variety of data sources, and provide a rich industry template and chart components. With graphical editing interface and rich user interaction functions, it can edit, save any large screen display scheme in a customized way, and easily set up large data screens and publish them without code.

Data query and analysis system provides flexible data query and analysis services. You can quickly query the data from the system, and analyze the data with the help of the analysis components in the system.