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Data virtualization enables IT teams to gain access to real-time data regardless of source to improve decision-making, increase productivity, and reduce overall costs.
A data virtualization system essentially creates a virtual fabric, delivering an easy-to-consume view across hundreds of data sources. Instead of lifting and shifting source data to the lake or cloud, ...
The database virtualization platform sits between applications and the new destination data warehouse. Like any virtualization technology, it decouples two otherwise tightly bonded components.
Data virtualization provides a single access layer for all enterprise data, enabling organizations to integrate and present data that resides in disparate systems. Critically, ...
Data virtualization addresses the data movement challenge by ensuring data remains at the source — yet is also available for consumption in real-time for consuming applications.
Data virtualization’s centerpiece is an abstraction layer, such as any of the SQL-virtualization approaches that support logically unified access, query, reporting, predictive analytics, and ...
Data virtualization works so quickly that each virtualization is updated in real time as it changes at its source. In contrast, ETL creates a static copy of the data as it existed at the moment ...
MetaMatrix was one of a few “database virtualization” products that aimed to make all of your RDBMSes look like one giant unified schema. This is the sort of idea that makes perfect sense to ...
Data virtualization holds the key. Any business’ data is only valuable if they can access it fast enough to address present challenges. With speed and agility dominating the market, ...
Data virtualization has been one of IBM Corp.’s primary concerns since Red Hat Inc.'s OpenShift open-source container application platform gained steam across the industry. Essentially, the combinat ...
Similar to server, storage, and network virtualization, data virtualization simplifies how data is presented and managed for users, while employing technologies - under the covers - for abstraction, ...
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