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A plan for migrating organizational data to the cloud is often motivated by three key factors: Economics: In many cases, the costs of “renting” cloud storage and computing power is much less than the cost of purchasing (and then depreciating)...
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Savvy organizations know that business growth and success are intrinsically linked with an effective strategy for managing data. But as the big data momentum builds, more questions are raised. In this post, I’ll answer five of the most important ones....
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Media Alert: Madrid, Spain, May 27, 2015 - Banking & Insurance CIO Conference - Manel Regueiro from Denodo, Gold Sponsors of the upcoming Banking & Insurance CIO Conference in Madrid, will discuss how data virtualization can enable the financial sector to be more agile and responsive thanks to a leaner approach in data integration and data delivery processes.
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New Denodo Express Solution Enables Users to Leverage the Power of Data Virtualization and Immediately Begin Addressing Critical Business Problems.
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Many companies today are embarking on data governance initiatives to avoid drowning in big data. As explained here, data governance tries to establish an upfront agreement regarding: What the company needs to track How those things should be named What...
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WHO: Denodo, a leader in data virtualization software, today announced that its customer CIT Group (NYSE: CIT) will present a comprehensive discussion at the Data Summit Conference on Wednesday, May 11, 2016
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This course provides the key features and main benefits of using Denodo Platform 8.0 as a data virtualization layer.
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Datavore
Event

As an Ambassador Partner at Datavore, Denodo invites you to join us for this annual Data enthusiast event on April 12-13 in Montreal.Meet with your data peers and colleagues to exchange views and share knowledge. Learn how other organizations are using data to make better business decisions and hear about best practices.
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Many organizations today have either already created or are in the process of creating a data lake. There are of course multiple configurations of a data lake including: A centralized data lake typically on a single data store such as...
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