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5 Flavors of Data Virtualization - from "Feature" to "Enterprise Platform"As data virtualization gains in popularity, some of its features are being included in other products or as an add-on module or feature.This can be a good thing, particularly if it is included in the cost of the other product.
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Big Data
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Make real-time decisions through big data and traditional data convergence using data virtualization
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OverviewData virtualization uses a simple three-step process—connect, combine, consume—to deliver a holistic view of enterprise information to business users across all of the underlying source syst
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Data virtualization is modern data integration that combines the benefits of real-time integration with agility to access and integrate disparate sources with ease.  Data services can be discovered and consumed freeing up developers to focus on logic, analytics, and user experience.
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Enterprise and Data Architecture professionals must deliver agile data services hiding the complexity of a myriad new data sources to proactively enable the business to pursue new business opportunities and advanced analytics both inside the enterprise and in the cloud.
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Chris Day, Director APAC Sales Engineering at Denodo, gives a product demonstration on how data virtualization platform helps data scientists offload these data integration tasks, allowing them to focus on advanced analytics.Watch this demo to learn how:
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