Data Virtualization – Separating Myth from Reality

dataversity
Data virtualization is a practice that logically integrates data from disparate sources without the need to physically move the data. While this can be an appealing prospect, there is a good deal of confusion around this technology and how to use it to full advantage. This webinar will explain the pros and cons of data virtualization, along with practical use cases for implementation.
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Spotlight

OTHER ON-DEMAND WEBINARS

Nvidia Managing End User Experience with GPU-Powered Insights

Eginnovations

GPU technology improves Citrix virtual desktops and applications, but to truly deliver an immersive user experience that scales, organizations need to manage the complete GPU deployment lifecycle - from designing the infrastructure, to managing and optimizing a production environment, to responding to user issues dynamically, in real-time.
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Virtualization AND Containers with Kubernetes

VMUG

Let’s explore the basics of Kubernetes clusters, including the many layers composed of both virtualization and containers that make every single cloud based Kubernetes cluster possible. We can dig into the pros and cons of both sets of tools, and consider the possibilities for the future. What would a Kubernetes cluster using only virtualization look like? What would the advantages and disadvantages be? Together we’ll wrap our heads more tightly around the technologies that are defining cloud native.
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Migrating your virtualization workloads to an OpenStack based infrastructure

Broadcom is acquiring VMware. Now what? If your infrastructure runs on VMware, you need to answer that question. And for many, or even most companies, the answer is to find a “Plan B” for their virtualized workloads and private-cloud infrastructure. Maybe you plan to eventually migrate to a fully cloud native architecture on a public or hybrid cloud, but right now you have lots of traditional workloads you're not sure you can refactor as cloud-native applications -- at least right away.
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Application Visibility and Analytics Strategies for Virtualized Data Center

Uila

Many companies have invested in virtualization and are investigating next generation technologies to improve their data center infrastructure performance and new tools to manage their critical business applications.
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