Data Virtualization

What is data virtualization?

A technique to data management that enables an application to retrieve and alter data without requiring technical information about the data, such as how the data is formatted or where it is physically located, is referred to as data virtualization. Data virtualization aims to combine data from several, unrelated sources into a unified representation without copying or moving the original data. Structured and unstructured data sources are combined by data virtualization software for virtual viewing through a dashboard or visualization tool. The software makes it possible to find metadata about the data but masks the difficulties in gaining access to various data kinds from various sources. Data virtualization merely saves integration logic and metadata for viewing; it does not copy data from source systems. The companies IBM, SAP, Denodo Technologies, Oracle, TIBCO Software, Microsoft, and Red Hat are among those that specialize in this kind of software.