The Next Era of Secure Access with ZTNA 2.0

the-next-era-of-secure
Hybrid work and the shift to cloud applications and data have forced organizations to shift their network architectures rapidly, leaving gaps in security and access.  As a result, ZTNA 1.0 is not enough.

Our partners at Palo Alto Networks introduced ZTNA 2.0 with Prisma Access which overcomes the limitations of legacy ZTNA solutions.
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OTHER ON-DEMAND WEBINARS

Deep Dive into vRealize Operations Capacity Management

Vmware

You use vRealize Operations for all of your capacity management needs trending, watching for shortages, cost, planning, etc.. Ever wonder how it all works or what everything in the UI means? In this session, we will talk about capacity planning, settings, and metrics so you can better understand how you can get the most out of it We will specifically focus on the latest releases and show how upgrading to the latest version can help you with your capacity planning needs. We will show you all the bells and whistles, share best practices and proven techniques, and in the end our experts will be available for Q&A session, so please come prepared with your questions.
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How to Deploy & Migrate VDI Workloads on Windows Virtual Desktop & Azure Stack HCI

Is your enterprise considering moving your desktops to the cloud? Whether in response to health concerns or to support existing employees, the need to support a mobile workforce is quickly growing. Flexibility is the name of the game, and the ability to support existing employees on their device of choice any time and anywhere is becoming a priority for enterprises. No matter what industry you are in, a secure and cloud-based virtual desktop infrastructure can benefit your organization.
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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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Parallel In-Memory Processing and Data Virtualization Redefine Analytics Architectures

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible, because some data sources are too big to be replicated, and data is often too distributed such as those found in cloud data sources to make a “full centralization” strategy successful.
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