Data Virtualization

  
 Data Virtualization is an agile integration approach –  it delivers a condensed and simplified view of data in real or near real time. The virtualization engine collects data from disparate sources without replication to create a single virtual secured copy of data available for immediate use. The result of data virtualization is substantially improving the quality of data, while ensuring the acceleration of application development and release cycles.  
  

Why Virtualize Data?


Automate Workflows
Enable On-Demand Data Access
Deliver Provisioned Data in Minutes Instead of Days
Reduce Required Storage Capacity
Significant Infrastructure Savings
Alleviate Costly and Time-Consuming Manual Processes
Increase Governance and Reduce Risk Through the Use of Policies




How Data Virtualization Works

​​​​Production Data is Collected

Data is collected from disparate sources where it is then condensed into a single copy of production data

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Administer Data​

Manage, update, monitor and configure policies for virtual copies ensuring that the right data is available to the right teams as needed.

Virtualization Engine

Deliver Secured Virtual Copies to Consumers

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Unlimited virtual copies of production like data is delivered to consumers where they can instantly provision a fully populated, non-production environment in minutes.
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