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Securitizing data is one of the most important tasks in an organization. Denodo can offer a wide range of data, gathering data from different sources, and delivering this data to many client applications and final users. When returning the data, Denodo provides several options to securitize the data, and just let the right users and client applications read this data.
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Les institutions financières doivent mettre en œuvre de nouvelles stratégies et de nouveaux services qui leur permettront d’atteindre leurs objectifs data en toute sécurité sur l'ensemble de leur infrastructure.
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Denodo and IBM have partnered to provide integrated solutions for IBM PureData™ and IBM BigInsights™. Register now to watch this essential guide to using data virtualization and big data for analytics.
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Leverage data virtualization to enable full-featured data services
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Public sector statistics face rapid transformation due to evolving needs, technological advances and data complexity. In this webinar, our speakers will discuss some of the common challenges in this sector:
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If you have been part of the Denodo community for a while, you likely have heard of SimplicityBI (now part of the BDO family). This expert firm located in Canada has done over 25 implementations of Denodo across North America in over 10 different industries.
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Datain empowers businesses to unlock the full potential of their data. We deliver premium, end-to-end data solutions tailored to your specific needs. Our deep industry expertise ensures we can solve any data challenge you face.By leveraging Denodo's data virtualization capabilities, Datain can provide customers with a more flexible, scalable, and efficient data solution. Here's how:
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Data warehouses were introduced to offer one integrated view of all the enterprise data spread across numerous isolated transactional systems. Now, organizations are struggling with a myriad of new data architectures that also try to offer some integrated view of the data to all business users and data scientists, such as data lakes, data hubs, data lakehouses.
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The Power of Logical Data Lakes
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