Data Virtualization Simplified
It is hard to come across articles that simplify the emerging technology understanding, focusing on the core problem and solution.
Here is a article (an interview, actually) on Data Virtualization, from Suresh Chandrasekaran, Senior Vice President, Denodo. Below are some of the snippets we picked up. Do read the full article to get your own insight! at the link to the article that follows:
Simplifying Data Virtualization:
Data virtualization is really a more flexible way of delivering information to applications and users; pushing or delivering the data “as a service”, with the service taking different forms: real time or batch mode, push vs. pull, multiple formats like virtual database, Web services, data feed, etc.
From a business perspective, it’s about broader access to data in business terms (unlocking data, the return on data assets), and more flexibility.
Elaborating on the “Cloud Critial”
The aftermath of cloud growth has actually been increased silos. So it will be critical to mature cloud interfaces and architectures, making them more modular as well as improving APIs and service levels. The focus is shifting much more to the interfaces and, regardless of where these applications and data are, making them talk to each other and provide an abstraction layer on top against which they can build new applications, develop user reports, or provide user access.
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