Data is collected in data repositories or data lakes. There is a latency before insights can be generated from the same.
Goals and Objectives
Enable data querying across data silos by querying at the compute layer. Drive cross-functional collaboration.
Data fabric, knowledge graph, semantic technology, and data virtualization
Use Case Summary
Connect data at the compute layer rather than at the storage layer. Use a data fabric approach to leverage the semantic layer to provide direct ontology-based data access to a virtualized data lake. Eliminate data latency issues.