Data Virtualization: Technology and Use Cases

Data is increasingly becoming a crucial asset for organizations to survive in todays fast moving business world. In addition, data becomes more valuable if enriched and/or fused with other data. Unfortunately, enterprise data is dispersed by most organizations over numerous systems all using different technologies. To bring all that data together is and has always been a major technological challenge.
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OTHER ON-DEMAND WEBINARS

Solve SSL VPN Woes with Ease – Be a Help Desk Hero!

Join Ericom's VP of Customer Success, Mendy Newman, as he shares insights on how IT staff can provide secure remote access to mission critical resources from any device — without the need to install or configure any client software or plug-ins.
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Re Defining VPN with SASE and a Cloud-First Solution

In this webinar, you will learn about Aryaka’s new fully-managed remote worker offering that leverages a SASE-ready, Cloud-First WAN infrastructure to deliver on the user experience and flexibility required for today’s hybrid workplace. Join us live or on-demand.
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Data Virtualization – Separating Myth from Reality

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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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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