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Data Virtualization

Data virtualization integrates data from disparate, heterogeneous sources regardless of the location of the data source, creating logical, unified, virtual views for consumption by any front-end solution such as applications, dashboards, portals, intranet, search etc.
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Data Hub for Shared Data Services

Business applications in an enterprise connect to several data sources for their data needs. A data hub is necessary to implement the logical independence of front-end consuming business applications and the underlying data sources (back-end) that contain and store the data. In other words, the data hub decouples the front-end of the data integration system from the back-end. Why is it important to have a data hub?
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Extend integration to all data sources (Structured, Web and Unstructured)

Conventional data integration tools cannot fulfill all data integration needs today. For instance, businesses need to extract relevant information from the web and combine it with internal enterprise data to gain insights into the market and the competition. Or, businesses may need to mine the wealth of information buried inside emails, PDFs, and other documents to gain valuable insights about their customer’s interests and problems. But, conventional data integration tools fall short of meeting such data integration demands because they are limited to just structured data integration. To compete in today’s hyper competitive world, organizations need to leverage the entire world of information.
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Integrate with the Web and in the Cloud

One of the great challenges of information technology is truly embracing the Web as the definitive information-processing platform for businesses. With the proliferation of data on the web, no organization can afford to ignore the enormous amount of information on the web. Denodo automates the integration of data on the web and in the cloud with enterprise data to reveal insights that are not possible with conventional integration tools.
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