Due to the unprecedented explosion in the volume, variety, and velocity of incoming data, the integration of data from enterprise systems, like ERPs and CRMs, to live sources, like social media and IoT devices, presents a lot of challenges. There are two ways to achieve data integration: one is using traditional data warehouses and data lakes. The other option is a more agile, modern Data Virtualization approach. Since Data Virtualization is a logical aggregation of data—where the platform pulls in data directly from the source—it presents unique challenges.
layer for your enterprise
Creating real-time, integrated views of data from disparate, structured, semi-structured, and unstructured data sources.