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      • SDN technologies and network virtualization: What you must know now

        SDN and network virtualization are new, unproven and still largely misunderstood technologies. This Technical Guide covers the basics of both, where they intersect and then reports on new developments. It outlines differences in SDN architecture and design, how network virtualization can be used in existing networks, and then delves into the concept of hybrid networks that contain both legacy equipment and SDN. This guide can't make buying decisions, but it can help you understand the fundamentals of new technologies and the considerations necessary for an initial investment.

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      • Software-defined networking: IT decision center

        The evolution of software-defined networking (SDN) is creating a massive transformation that will affect every part of the network. SDN enables centralized programmable networks that separate the control and data planes from the underlying infrastructure, resulting in fast, granular network management. But where do you start?

        The SDN transition is taking hold first in network controllers and switches that will increase dynamic network performance, particularly for virtualized data centers and cloud computing. In this IT Decision Center, our expert will help you understand choices in software-driven network architecture and break down the SDN switch and controller procurement process by looking at the business need, product and vendor research (including a list of vendors in the market), and advice on how to make your final buying decision.

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Featured E-ZINES on searchSDN.comView all >>

  • Network Evolution

    Network Evolution magazine keeps IT professionals up-to-date on next-generation IT enterprise networking.

  • Modern Infrastructure

    Modern Infrastructure covers the convergence of technologies -- from cloud computing to virtualization to mobile devices -- and the impact on data centers.

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Featured E-BOOKS on searchSDN.comView all >>

  • Enterprise Hadoop: Ready for prime time?

    Many vendors are pitching Hadoop as the foundation for enterprise data management environments that delivers information and insights to business users and serves as a hub for other data systems and applications. In the era of big data, the case for Hadoop is strong: Hadoop provides a cost-effective way to ingest, store and process large volumes of multi-structured data. With Hadoop, organizations can store all data in its original format and provide a system of record for the enterprise. Even more, they can bring the applications to Hadoop and process the data in place.

    But does reality square with the promise today? Are companies willing to trust their enterprise data to Hadoop? The big question is whether Hadoop is ready to support enterprise-scale, production environments where data can't be corrupted or inconsistent. Does Hadoop have adequate management, monitoring, backup, recovery and security features? What are the major gaps today and what are vendors doing to plug the holes? At what point can companies trust production computing environments to Hadoop? This report, based on a comprehensive survey of business intelligence professionals and interviews with experts in the field, addresses these questions.

  • Overcome today's disaster recovery challenges

    The use of devices not connected to a local network is a challenge for IT staffs tasked with protecting data on those devices. Completing backups within a reasonable timeframe has become an issue for organizations. Some organizations are opting for alternatives to traditional backup to address these challenges. The cloud has been pushed as an alternative to tape for offsite storage for disaster recovery. However, there are challenges with this approach and with protecting applications running in the cloud.

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OTHER FEATURED E-HANDBOOKS