Semantic Data Interconnect (SDI) is a MindSphere application that empowers customers to easily link data and obtain cross-system and cross-domain data insights with comprehensive analytics. Data owners can combine data stored in multiple, disconnected sources by taking advantage of the end-to-end comprehensive SDI framework.
SDI opens a plethora of opportunities by unlocking data from different sources to support a variety of data insight use cases. It provides a few key benefits for users:
- Understand enterprise data from different sources and formats such as automatic schema discovery and metadata
- Interpret semantic contextual relationships that exist across different data sources
- Consume correlated enterprise data along with IoT data based on a variety of use cases with in-built querying capability
- Handle end-to-end data management of data ingested from different sources at different times
The latest SDI release continues to deliver advanced technology for data analysis, system integration, and data correlation between virtual models and physical assets.
In this version 4.0.0 release of SDI, new capabilities bring enhanced solutions for business users to provide dynamic and up-to-date inputs to get the required information, while helping to improve the overall user experience and management of the application.