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Data Virtualisation for Agile Data Provisioning
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BI is becoming a key IT initiative and with that comes an increasing need for applications and users to access data from a growing list of sources, including relational and less structured sources like NoSQL and web data, and publishing this data in different formats and modes (real-time/scheduled). What is needed to accomplish this flexibly and in less time is a platform that will deliver any combination of data to any application at any time – in other words, agile and unified data provisioning.
In this Webinar, Philip Howard will address how Data Virtualization provides just that via a unified virtual data layer that abstracts the underlying source complexity and provides flexible data services to consuming applications in the required formats and in real-time, scheduled and cached modes. Philip will also take you through real-world use cases where organizations leverage Data Virtualization to enable Big Data analytics, self-service BI and cloud initiatives.