Best practices for using VPNs for easy network-to-network protection

westermo
Learn how VPNs can secure your network-to-network communication. Different implementations are discussed, with real industry applications demonstrating how the solutions work in practice. There is also advice on what to look for in terms of threats, and pitfalls.
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OTHER ON-DEMAND WEBINARS

Webinar: Clearing the WAN Edge Fog with Versa Networks SD-WAN and SevOne

Sdxcentral

For organizations of all kinds, the transition to multi-cloud and SaaS is highlighting the inflexibility, low bandwidth capacity and cost-ineffectiveness of their legacy WAN and branch architecture. Enterprises need increased application-driven and cloud-intelligent connectivity with increased and cost-effective bandwidth across their WAN edge. SD-WAN is quickly becoming the new standard for the WAN and branch enabling cost savings, increased reliability and flexibility for their cloud and branch office connectivity needs. Yet many SD-WAN projects are delayed because teams have questions about the technology, the vendor landscape, and how they’ll manage this new approach to managing the WAN.
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Migrate to Windows Virtual Desktop on Azure

Register for this webinar to learn how to migrate your on-premises Remote Desktop Services environment to Windows Virtual Desktop Preview on Azure. It’s the only virtual desktop infrastructure that delivers simplified management, multisession Windows 10, optimizations for Office 365 ProPlus, and support for Windows Server remote desktops and apps.
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Azure Virtual Desktop

Additionally, if you offer traditional VPN remote access, Azure Virtual Desktop can be a more secure alternative that you should consider. In this on-demand webinar, Interlink, one of the first Microsoft Partners in the country to achieve the Azure Virtual Desktop Advanced Specialization, walks you through common Azure Virtual Desktop use cases, key design principles, and management and security benefits.
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How Data Virtualization Enables Data Scientists

Denodo

Data science requires vast amounts of data. And that too from multiple sources. Data virtualization integrates the data across these disparate sources and provides a unified view of the data to data science algorithms. With it, data scientists can deliver important answers to business questions that enable the business users to perform their functions efficiently.
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