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Heliosz and Denodo
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The Denodo Platform leverages data virtualization to seamlessly implement a logical data management architecture, employing modern features such as a unified semantic layer, metadata management, a recommendation-based, user-friendly data catalog, and hybrid, multi-cloud
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The data landscape has become more complex with new use cases like IoT, Streaming and Edge analytics. To better manage enterprise data distributed across data lakes, data warehouses, and many other systems residing on-premises and in the cloud, enterprises are turning to various data management technologies like query accelerators, data virtualization, and data fabrics.
Last updated:
The data landscape has become more complex with new use cases like IoT, Streaming and Edge analytics. To better manage enterprise data distributed across data lakes, data warehouses, and many other systems residing on-premises and in the cloud, enterprises are turning to various data management technologies like query accelerators, data virtualization, and data fabrics.
Last updated:
The data landscape has become more complex with new use cases like IoT, Streaming and Edge analytics. To better manage enterprise data distributed across data lakes, data warehouses, and many other systems residing on-premises and in the cloud, enterprises are turning to various data management technologies like query accelerators, data virtualization, and data fabrics.
Last updated:
Resources
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Denodo offers an extensive library of data virtualization resources aimed at helping you unleash the true value of your data.
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This panel discusses the challenges Data Mesh addresses and how organizations can align its principles to their unique environments using Data Virtualization. Data Mesh revolutionizes data management but implementing it can be complex. We explore the role of Data Virtualization as a strategic enabler.
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Watch our webinar to find out how to lighten the load by redefining the migration process. We’ll show why you never have to burden yourself with “data hoarding” again. Discover how to simplify your SAP implementations, while dramatically reducing your data footprint, costs, management and security concerns.
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The Evolution of Data Stack: From Query Accelerators to Data Fabrics
Webinar