Data Virtualization for Agile Data Provisioning

Author: Philip Howard, Bloor Research

Sponsor: Denodo
Price: FREE
Document Format: PDF

In today´s data-run world, it is not only analytical applications that need to access data from diverse sources but operational and transactional applications and processes as well. What is required is a platform that will deliver any (combination of) data to any application at any time (and in context), in other words: agile and unified data provisioning.

In practice, agile data provisioning covers not just the data access, integration and delivery environments, but also data management, (transformation and data quality) rule development and prototyping, data and metadata governance and, indeed, application development practices in general— all of which are addressed by Data Virtualization, a Unified Data Layer that isolates data from participating applications and delivers integrated data services on demand.

Get this new report by Bloor Research for real world use cases of Data Virtualization not just from analytical and operational perspectives, but also from master data management (MDM), Web & cloud integration, and infrastructure viewpoints.

Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

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