Distributed data management and processing
The main application of Data Fabric Platform is the end-to-end management of data repositories using a Data Lakehouse approach. It can ingest, store and process large volumes of structured and unstructured data, incorporating data-quality, explainability and interoperability capabilities. It also facilitates the deployment and integration of AI models across the complete MLOps lifecycle.
Controlled and scalable information exchange
Data Fabric Platform enables scalable data management while maintaining integrity and supporting the controlled exchange of information between organisations. Its native capabilities for data-space ecosystems, together with MLOps support, allow AI models to be integrated and the inference pipeline over the data repository to be managed efficiently.