Data Abstraction Best Practices
sponsored by Composite Software

All large enterprises and government agencies today are looking to improve on their bottom-line, cut costs or reduce their risk by providing better access to information assets. Towards these objectives, all must overcome the challenges presented by significant volumes of complex, diverse data spread across various technology and application silos.

Data abstraction overcomes data structure incompatibility by transforming data from its native structure and syntax into reusable views and data services that are easy for application developers to understand and solutions to consume. But some data abstraction approaches work better than others. Read this paper to learn how composite data virtualization is an optimal way to implement an abstraction layer at enterprise scale.

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