ABSTRACT
The data virtualization layer provides the location transparency of data sources whether they originate from on-premise data or data in the cloud. Data virtualization can help users interact with data quickly to achieve business agility. Solutions can create virtual views of data coming from live data sources. Data integration can be handled on-demand by defining virtual data marts in the data virtualization layer. Modern data virtualization solutions can be hosted in the cloud; organizations can take advantage of “Infrastructure as a Service” cloud type where they do not need to manage their virtualization layer on-premise. The virtualization layer can enable organizations to take advantage of the price/performance of processing the data and analytics in the cloud by using the platform's native database system. By establishing a data virtualization layer, organizations can bypass time-consuming and difficult processes for extracting, transforming, and loading data into a data warehouse, Data Lake, or enterprise hub.
