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11672: Managing & Protecting Distributed Enterprise Big Data with FDR/UPSTREAM and Data Deduplication Techniques

Monday, August 6, 2012: 4:30 PM-5:30 PM
Elite 2 (Anaheim Marriott Hotel)
Speaker: Patrick Fitzsimmons(Innovation Data Processing)
Handouts
  • Managing and Protecting Enterprise Big Data with FDR/UPSTREAM and Data De-Duplication Techniques (2.1 MB)
  • As DATA continues to explode in corporate datacenters managing and protecting the data is a huge challenge. In these tough economic times, customers face a serious challenge: making do, and making the most, of their current resource investments.  Whether the platform is Linux for System z or open systems, for many organizations Backup is still the #1 Pain point.

    Come learn why FDR/UPSTREAM is THE solution for managing BIG DATA that leverages z/OS systems and resources to backup any open systems from Linux for System Z data to Windows systems.

    The session details the best practices for UPSTREAM using z/OS as the storage server that uses the existing z/OS tape management, Security and Scheduling systems and can also employ HiperSockets if enabled.

    Also being presented are data deduplication techniques to dramatically reduce the amount of data that is being backed up as well as stored either on tape; real or virtual.

    Learn how this solution and companion FDR products can provide enterprise data protection for other open systems platforms by removing the data transmission from the communication networks.  FDRSOS and Upstream/SOS are data protection solutions for open systems data stored on either EMC’s VMAX or DMX, or IBM DS8700 and DS8800 Enterprise Storage providing high speed performance of open systems data across z196 and z/OS FICON channels. The take away would be utilizing your existing z/OS resources for Linux for System z and open systems backup.

    Tracks: Big Data - Big Analytics - Big Needs, Data Center and IT Management, Linux Systems Management, Software Architecture, Storage Administration and z/OS Systems Programming
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    See more of Project: Storage
    See more of Program: Information Management