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by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
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GCN : June 2013
researchers across the country access to HPC and data storage, archival and retrieval systems. Today, the -Gbps network runs at full capacity around the clock, transporting between and terabytes a day. The n-wave Network, which is being upgraded to support -Gbps data rates, makes it possible for scientists to work with the data they need without worrying about bandwidth restrictions, even in remote locations such as Alaska, Hawaii and Puerto Rico. It also enables NOAA researchers to share resources with scientists in other government agencies, such as the Department of Energy. In short, thanks to the n-wave Network, Big Data work that once was limited to scientists in a handful of locations is now being carried out across the country, providing a much greater return on the government s investment. INTEGRATED SYSTEMS APPROACH The key to avoiding these and other pitfalls is not to buy the right point products but to develop end-to-end solutions designed to address the unique demands of Big Data applications. Cisco has developed a number of Big Data solutions based on Cisco UCS: CPA integrates compute, storage, connectivity and management capabilities in one platform. The CPA includes Cisco UCS Series Fabric Interconnects, which provide high- speed, low-latency connectivity and centralized management of connected devices; Cisco UCS Series Fabric Extenders, which provide highly scalable and cost-effective connectivity for a large number of nodes; and Cisco UCS C M Rack-Mount Servers, which are designed for a wide range of compute, I/O and storage capacity demands. NOSH is an enterprise-class Hadoop cluster based on industry-standard hardware and software components, including NetApp RAID-based storage arrays. The Cisco Platform for NOSH combines Cisco UCS and Cloudera Manager to provide a high-performance analytic solution that is easy to deployable, reliable and scalable. SAP HANA uses an in-memory database combining transactional and analytical data processing with application logic processing to greatly accelerate performance. Cisco s SAP HANA appliance comes with Cisco UCS B m blades, C M and C M rack server form factors, with Cisco Process Orchestrator, Cisco Nexus switches, a rack server and industry vendor storage. This integrated systems approach not only ensures that the solutions are tailored to meet the demands of Big Data but makes them easier and more cost-effective to manage, allowing agencies to put more resources toward the actual mission of managing data instead of managing the data center. More on Big Data trends and solutions Links to the following resources are available at www.cisco.com/go/govbigdata Video: Data in Motion: The Evolution of Data Factsheet: Cisco Common Platform Architecture for Big Data Factsheet: Cisco Bridge to SAP HANA Appliance Whitepaper: NetApp Open Solution for Hadoop (NOSH) Whitepaper: Big Data in the Enterprise: Network Design Considerations ADDITIONAL RESOURCES: Whitepaper: Demystifying Big Data: A Practical Guide to Transforming the Business of Government (TechAmerica Foundation) http://www.techamericafoundation.org/bigdata Website: The Big Data Research and Development Initiative http://www.whitehouse.gov/sites/default/ les/microsites/ostp/big_data_ press_release_ nal_2.pdf Website: Core Techniques and Technologies for Advancing Big Data Science & Engineering (National Science Foundation) http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767 SPONSORED CONTENT By 2016, almost 19 billion global network connections will exist --- two and a half for every person in the world.