In many ways, the database as we know it is disappearing into a virtualization fabric of its own. In this emerging paradigm, data will not physically reside anywhere in particular. Instead, it will be transparently persisted, in a growing range of physical and logical formats, to an abstract, seamless grid of interconnected memory and disk resources; and delivered with subsecond delay to consuming applications.
Database virtualization will enable real-time business intelligence through a policy-driven, latency-agile, distributed-caching memory grid that permeates an infrastructure at all levels.
As this new approach takes hold, it will provide a convergence architecture for diverse approaches to real-time business intelligence, such as trickle-feed extract transform load (ETL), changed-data capture (CDC), event-stream processing and data federation.
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