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In this video, Mark Blanchette, VP of Business Technology and Data Management at Seacoast Bank discusses why they chose the Denodo platform to create their logical data warehouse and the benefits they have realized.This customer case study video will cover:
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Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is integrating the silos using a semantic data layer.
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Right Angle Solutions Inc. excels at providing customized data management solutions designed to optimize data organization, storage, and analysis. Our innovative methodology emphasizes simplifying data workflows, safeguarding data integrity, and supporting smarter decision-making.
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Data risk is a potential for business loss due to poor data governance or data mismanagement or lacklustre data security that makes it difficult to protect digital data from cyberattacks or data breaches.
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Those who have dabbled into data virtualization, inquire about its performance characteristics. In this presentation, the head of Denodo product management will detail the 5 different capabilities available within data virtualization to accelerate the queries and deliver the results rapidly.
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Data architecture is more relevant than ever today, because so many user organizations are migrating data to the cloud, modernizing analytics and data warehouses, deploying data lakes and lakehouses, and adopting new practices for data virtualization, sharing, monetization, and marketplaces.
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Phoebe Bakanas, Sales Engineer at Denodo gives a product demonstration of Denodo Platform 6.0 with particular focus on how to create a complete view of the customer with data virtualization.Watch this demo to learn how to:
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Nobody needs to tell organizations dependent on supply chains that recent times have been full of uncertainty. Disruptions, economic challenges, global crises, and sudden changes in consumer demand continue to test resilience and agility.
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In this report, Gartner says, “Include AI-focused requirements in your evaluation criteria to ensure your data integration tool(s) can support emerging AI use cases and projects, such as integrating unstructured data to build retrieval-augmented generation (RAG) architectures.” Gartner further recommends that companies should “Assess each tool’s strengths to determine whether you need
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