Product introduction

Product introduction

The data asset platform collects and maintains complete metadata information by formulating metadata models, data standards and other specifications, opens up the data relationship network, and realizes data standardization and asset management. Build an enterprise-level metadata center to take inventory of enterprise data assets and provide a “complete, unified, and connected” metadata foundation for data value mining.

product framework

Based on metadata collection, standardize management and maintenance of metadata. Based on the content collected and maintained, it provides asset query and analysis services internally and asset application services externally.

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Product typical application scenarios

Metadata collection/maintenance/query
Connect to the enterprise's data warehouse and various business system libraries to collect database table metadata; connect to various product applications in the data center to obtain metadata information used by the data; then, based on the collection, perform secondary normative maintenance to supplement missing data Business metadata is aggregated to provide metadata query and analysis services.

Mapping and implementation of data standards
Develop enterprise data standards and discover and modify existing data that does not meet standards through standard mapping and comparison. Then, through the standardized table creation and modeling of the data model, the implementation of incremental data becomes standard.

Application of data kinship relationship
Through automatically parsed data kinship relationships, it can help users discover data flow relationships and data impact links, and rationally subscribe to and maintain the data that users care about.