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Data virtualization is any approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted or where it is physically located.〔("What is Data Virtualization?" ), Margaret Rouse, TechTarget.com, retrieved 19 August 2013〕 Unlike the traditional extract, transform, load ("ETL") process, the data remains in place, and real-time access is given to the source system for the data, thus reducing the risk of data errors and reducing the workload of moving data around that may never be used. Unlike Data Federation it does not attempt to impose a single data model on the data (heterogeneous data). The technology also supports the writing of transaction data updates back to the source systems.〔("Data virtualisation on rise as ETL alternative for data integration" ) Gareth Morgan, Computer Weekly, retrieved 19 August 2013〕 To resolve differences in source and consumer formats and semantics, various abstraction and transformation techniques are used. This concept and software is a subset of data integration and is commonly used within business intelligence, service-oriented architecture data services, cloud computing, enterprise search, and master data management. ==Examples == * The Phone House—the trading name for the European operations of UK-based mobile phone retail chain Carphone Warehouse—implemented Denodo’s data virtualisation technology between its Spanish subsidiary’s transactional systems and the Web-based systems of mobile operators.〔 * Novartis, which implemented a data virtualisation tool from Composite Software to enable its researchers to quickly combine data from both internal and external sources into a searchable virtual data store.〔 * The storage-agnostic (Primary Data ) data virtualization platform enables applications, servers, and clients to transparently access data while it is intelligently migrated between direct-attached, network-attached, private and public cloud storage. Server flash memory pioneer Fusion-io co-founder David Flynn, now Primary Data CTO, saw the need to move data across storage types to maximize efficiency with data virtualization. * Linked Data can use a single hyperlink-based Data Source Name (DSN) to provide a connection to a virtual database layer that is internally connected to a variety of back-end data sources using ODBC, JDBC, OLE DB, ADO.NET, SOA-style services, and/or REST patterns. * Database virtualization may use a single ODBC-based DSN to provide a connection to a similar virtual database layer. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「data virtualization」の詳細全文を読む スポンサード リンク
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