Application Study Of Heterogeneous Data Consolidation In Internet Based On JSON

With the rapid development and wide application of the Internet, we can easily search for a large number of documents and databases through a browser or smart phone, to obtain recommendations, promotions and some useful information. However, a large number of heterogeneous data produced by Internet hampered the sharing and use of data and information. JSON as a lightweight data interchange format is completely independent of program language and platform, which has advantages in the field of data exchange. Integration of heterogeneous data can be achieved by means of JSON.In order to be able to seamlessly exchange data between heterogeneous systems, this thesis proposes a view of setting JSON as a format of heterogeneous data integration, which is based on the study of traditional heterogeneous data integration technology. By the system of middleware architecture, this thesis designs a scalable heterogeneous data integration framework called JHDI. It is achieved that JSON format is regarded as a global data exchanging format. Build the mediation schema and source schema as well as their mapping, to solve the problem of semantic heterogeneity of data sources. It uses the unified query language to complete the interaction of middleware and data sources. The use of service interfaces provided by multiple heterogeneous data sources enable that the data source of integration system can be flexibly configured to reduce the degree of coupling and easy extension. This model adapts to changing needs. Finally the problem of heterogeneous data for this specific area of Internet finance is what we need to pay attention to and an example is given.