{"id":2841,"date":"2018-06-04T11:34:42","date_gmt":"2018-06-04T15:34:42","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=2841"},"modified":"2018-10-24T11:57:51","modified_gmt":"2018-10-24T15:57:51","slug":"5-things-you-need-to-know-about-data-virtualization","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/5-things-you-need-to-know-about-data-virtualization\/","title":{"rendered":"5 Things You Need to Know About Data Virtualization"},"content":{"rendered":"
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Source: TIBCO Software<\/p><\/div>\n

By Robert Eve<\/strong><\/em><\/p>\n

Data Virtualization is software used by enterprises to reduce their analytic data bottlenecks by essentially mapping to multiple data sources through a virtual data layer that provides a unified, rationalized view of all their information. That may sound like a mouthful, but the motive is really straightforward. Functionally, data virtualization products are used to build, run, and manage IT-curated data services far faster than traditional warehousing and extract, transform, load (ETL) approaches \u2014 and with far fewer resources. The process allows an analytic application to access and use data quickly without requiring technical details about the data, such as how it is formatted or where it is physically located.<\/p>\n

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1. How it works<\/strong><\/p>\n

Companies generally start by installing virtualization middleware that fits with their existing infrastructure to access data from distributed sources including traditional enterprise, big data, cloud, and IoT. Data engineering staff then use rich data analysis, design, and development tools to create the desired IT-curated data services. Thus, when you run a report or refresh a dashboard, data virtualization\u2019s query engine accesses the data sources in real time, makes the all needed transformations, and the quickly delivers the exact data requested.<\/p>\n

2. Known benefits<\/strong><\/p>\n

Data virtualization provides a fast and economical way to integrate data reliably and evolve rapidly when requirements change. Virtualized data can be used across myriad analytics, self-service, business intelligence, and transactional applications to support multiple lines of business, hundreds of projects, and thousands of users. It provides up-to-the-minute data as needed via advanced performance optimization algorithms. And data virtualization\u2019s management, monitoring, security, and governance functions ensure organizations can meet service-level agreements for security, reliability, and scalability.<\/p>\n

3. Where it’s used<\/strong><\/p>\n

There are a number of project-scale scenarios where data virtualization is the optimal choice.<\/p>\n