Data Virtualization - what it is and why it matters?
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The Data Virtualization market will change significantly from the previous year. Over the next five years, will register a CAGR in terms of revenue, and the global market size will reach USD in millions by 2028. The execution of distributed data management processing, especially for queries, against numerous heterogeneous data sources, and the federation of query results into virtual views are the foundations of data virtualization technology. Following that, applications, query/reporting tools, message-oriented middleware, or other data management infrastructure components consume these virtual views. One of the most common reasons for implementing full virtualization is to improve operational efficiency. By putting additional stress on each machine, businesses may make better use of their existing hardware (and new hardware acquisitions). Servers that operate a single OS instance and a single set of services can use more of the computer's processing and memory resources than ...