Demystifying Data Virtualization: Why it’s Now Critical for Your Data Strategy

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.

VMware and Infoblox have teamed up to eliminate the manual processes and custom scripts. Join Neeraj and Tony for this live webinar and learn how to optimize your VMware Cloud and NSX deployments by leveraging IP address and DNS provisioning as part of your automation and orchestration workflows.

Whether you virtualize desktops or critical business applications, the dynamics and complexities of virtualized environments can cause significant performance and user experience issues that can diminish the benefits of virtualization and risk interruption of critical business processes. The toughest performance problems are the ones where users call and complain that "my application is slow". IT administrators often struggle to determine the root-cause of the problem and restore service levels: Is it the application server?

Self-service Analytics BI is often quoted by many - ie, allow users to discover and access data without having to ask IT to create a data mart, or by allowing users to directly export/copy the data from the data sources themselves into their analytics tools and systems. The challenge is not just to provide access to the data – even from Excel this can be done - but to do this in real time without creating processing overhead, while getting trusted data, with the best response time possible, in a managed, governed and secure way in order for these users to trust the output of the analysis. Data Virtualization provides a data access platform that allows users to access the data they need from multiple data sources, when they need it, and with the best possible response time. In addition, a Data Marketplace built on top of this proven technology enables Self Service Analytics by exposing consistent and governed data sets to be discovered by users, providing the trusted foundation for a successful Self-Service Analytics initiative.