{"id":5369,"date":"2015-05-01T07:00:36","date_gmt":"2015-05-01T15:00:36","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=5369"},"modified":"2015-03-27T07:29:17","modified_gmt":"2015-03-27T15:29:17","slug":"data-virtualization-abstracting-cloud-and-on-premise-data-into-a-single-logical-access-point","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/data-virtualization-abstracting-cloud-and-on-premise-data-into-a-single-logical-access-point\/","title":{"rendered":"Data Virtualization: Abstracting Cloud and On-Premise Data into a Single Logical Access Point"},"content":{"rendered":"

Data virtualization<\/a> is a method that allows the administration and access to heterogeneous sources of data as if they were a single source. \u00a0At the core of data virtualization<\/a> is the abstraction layer that provides a unified access to disparate back-end data sources,like relational\/SQL, Hadoop and NoSQL. \u00a0It provides a unified approach to actions like access, query, reporting and predictive analytics. \u00a0Data virtualization 50-75 percent efficiencies<\/a> using techniques of deduplication and consolidation.<\/p>\n

Forrester defines<\/a> data virtualization as “the integration of any data in real-time or near-real time from disparate structured, unstructured, and semi-structured data sources, whether on-premises or cloud into coherent data services that support business transactions, analytics, predictive analytics, and other workloads and patterns.”<\/p>\n

The main elements of data virtualization<\/a> include:<\/p>\n