"The concept of letting data stay 'where it lives; and developing a hardware and software architecture that exposes the data to various business processes and organizations. The goal of virtualization is to shield developers and users from the complexity of the underlying data structures." (Jill Dyché & Evan Levy, "Customer Data Integration: Reaching a Single Version of the Truth", 2006)
"The ability to easily select and combine data fragments from many different locations dynamically and in any way into a single data structure while also maintaining its semantic accuracy." (Michael M David & Lee Fesperman, "Advanced SQL Dynamic Data Modeling and Hierarchical Processing", 2013)
"The process of retrieving and manipulating data without requiring details of how the data formatted or where the data is located" (Daniel Linstedt & W H Inmon, "Data Architecture: A Primer for the Data Scientist", 2014)
"A data integration process used to gain more insights. Usually it involves databases, applications, file systems, websites, big data techniques, and so on." (Jason Williamson, "Getting a Big Data Job For Dummies", 2015)
"Data virtualization is an approach that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source or where it is physically located, and can provide a single customer view (or single view of any other entity) of the overall data. Some database vendors provide a database (virtual) query layer, which is also called a data virtualization layer. This layer abstracts the database and optimizes the data for better read performance. Another reason to abstract is to intercept queries for better security. An example is Amazon Athena." (Piethein Strengholt, "Data Management at Scale", 2020)
"A data integration process in order to gain more insights. Usually it involves databases, applications, file systems, websites, big data techniques, etc.)." (Analytics Insight)
"The integration and transformation of data in real time or near real time from disparate data sources in multicloud and hybrid cloud, to support business intelligence, reporting, analytics, and other workloads." (Forrester)
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