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      • Mobile cloud services: Revolutionizing the enterprise

        Cloud services may be the best way to deliver mobile applications to enterprise customers, due to the range of services that providers can offer from their carrier-class data centers and networks. In addition, cloud providers have a unique ability to help enterprises manage mobile devices as interest in bring your own device (BYOD) initiatives grows. This handbook will offer information on new cloud-based mobile services and provide guidance on architecting the cloud for mobile device management (MDM), location-based services and security requirements. We will also address managing the network to minimize problems in application performance and delivery.

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      • Getting ready for NFV: Master the basics and nail the RFP process

        Network functions virtualization (NFV) is designed to reduce network cost and complexity by virtualizing network equipment onto switches, servers and storage. NFV has the potential to bring service providers savings on capital equipment and network operations costs. It also promises to make real the dream of managing legacy network components and virtual resources as one. This TechGuide provides you with the background you need to move forward with NFV: A primer on what it is and how it can help you, an overview of how existing systems can be adapted to NFV and a guide to how to draft an RFP specifically for NFV.

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  • 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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