Summary
Data silos across hybrid, multicloud, and edge create challenges that lead to inconsistent, untrusted, and delayed data; poor business decisions; and missed opportunities. Data virtualization technology overcomes data silo issues by connecting and integrating disparate data sources dynamically in real time and near real time to support modern applications and insights without writing code. It focuses on delivering real-time, trusted, and consistent data across use cases, workloads, and applications. Enterprise architects should read this report to discover technical and nontechnical best practices that they should adopt for a successful data virtualization deployment.
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