Many organizations choose for reasons such as “Minutes to milliseconds” performance, drastically accelerated development cycles, and extreme business responsiveness. I want to tell about topic for applying problems of real world to Graph Database such as business restriction.
Use Cases of Graph Database are social recommendations, geo, master and management, network and data center management, authorization and access control, etc. Of these, let you know “TalentNet”, social recommendations as professional social network.
TalentNet is an application program for social recommendations that users discovery professional field networks and find other users possessing specific skills. Assume that users are working for the company, working on the project, and having one or more interests or skills. TalentNet can describe user’s professional field networks by finding other users sharing the user’s own interests. It also can confirm their specific skills that are connected with user directly or indirectly. This search is very useful when users find the suitable experts in their business.
The above figure simply shows the data model of TalenNet. There are two “Company” and several “User”. User is being linked up with Company through WORKS_FOR relationship. Each User is being linked up with one or more Topic through INTERESTED_IN relationship, and is being linked up with Project through WORKED_ON relationship. Therefore, on the basis of shared interests and skills, it can infer user’s professional field networks, and can recommend a person possessing specific skill or being able to work together.
BITNINE GLOBAL INC., THE COMPANY SPECIALIZING IN GRAPH DATABASE
비트나인, 그래프 데이터베이스 전문 기업