In this video, Rob Anderson from Isilon/EMC presents: Big Data and Implications for Storage. Recorded at Eduserv Symposium 2012.
In this video, Rob Anderson from Isilon/EMC presents: Big Data and Implications for Storage. Recorded at Eduserv Symposium 2012.
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In this video, NetApp presents the challenges of exploding volumes of data.
Alex Buttery writes that Hadoop skills are in demand, but that Academia is behind the ball.
Hadoop is one of the up-and-coming technologies for performing analysis on big data, but to date very few universities have included it in their undergraduate or graduate curriculums. In a February 2012 article from InfoWorld, those already using the technology issued the warning that “Hadoop requires extensive training along with analytics expertise not seen in many IT shops today.” A ComputerWorld article singled out MIT and UC Berkeley as having already added Hadoop training and experience to their curriculums. Other educational institutions need to seek out practitioners in their area or poll alumni to determine if individuals that can impart their knowledge to college students are available and if so, prepare a curriculum to start training the next generation of IT employees and imbue them with the skills they will require to meet the challenges of the 21st century.
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This week SGI announced world record benchmark performance with full support for the newest Intel Xeon processor E5-2400 and E5-4600 product families. The E5-2400 is now the base processor in the SGI Hadoop Starter Kits and is available in the SGI Rackable product line for use in other applications.
Big Data is characterized not just by its volume but also by its velocity and variety. Moreover, Big Data can be in either structured or unstructured forms. These dynamics give rise to a broad range of demands made on a computer system, especially for high performance and comprehensive analytics,” said SGI CTO Dr. Eng Lim Goh. “Our long design relationship with Intel and the incorporation of the more robust Intel Xeon E5 processors, have enabled us to develop the next SGI coherent shared memory platform that scales up even higher, in compute, memory and IO, than our previous generation. The result is a system ideally suited to meet this broad spectrum of existing and emerging Big Data challenges.”
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In this video, Peter Sirota presents: Simplifying Big Data with AWS.
Big Data and High Performance Computing are much more than buzz words. The Cloud is the perfect environment for spinning up huge (and sometimes small) grids of computers to analyze enormous amounts of data. Learn how others use AWS’s technology platform to drive a up to a 500% increase in ad campaign ROI, while simultaneously avoiding $500,000 in capital expenditures.
Recorded at the 2012 AWS Summit in New York.
In this video, Addison Snell presents some of the top insights from recent market intelligence studies from Intersect360 Research.
The view from Intersect360 Research includes applications in both High Performance Technical Computing (HPTC) and High Performance Business Computing (HPBC), with an emphasis on the opportunities for HPC technologies in emerging Big Data applications. The evolving industry dynamics around accelerators, file systems, and InfiniBand will also be discussed.
Recorded at the 2012 National HPCC Conference in Newport.
In this video, Blake Caldwell from ORNL presents: Best Practices for Scalable Administration of Lustre. Recorded at LUG 2012 in Austin.
Note: Most of the videos from LUG 2012 are now posted at the OpenSFS site.
Phillip Howard writes that uRiKA from Cray is to graph databases what Netezza was to data warehousing when it first appeared on the market: appliance-based, scalable (uRiKA more so) and focused solely on high-performance analytics.
10 million of these patient records are being compared with one another including anonymised historical data spanning all events, symptoms, diseases, treatments, prescriptions, genetics and family history: in order to identify “similar patients” where similarity, and degree thereof, and under what conditions, forms the basis of the graph stored within uRiKA. This graph is then used to support doctors and to provide information in real-time about what treatments were most successful on similar patients. As the doctors are consulting with patients live, they can consult the uRiKA system on iPads or other devices to get guidance and tweak their search parameters on the fly during the patient visit.
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This week Mellanox announced the joint demonstration of PHAT-DATA40G, a high-performance Hadoop appliance over a Mellanox end-to-end 40GbE networks. As demonstrated during Interop 2012 at Mellanox booth, PHAT-DATA40G is a consolidated solution that provides Hadoop users with minimum 20 percent performance enhancement above existing available solutions.
PHAT-DATA40G is a collaborative effort with industry technology leaders to build the highest-performing Hadoop solution running on optimized hardware, with ease of use and simplified deployment as a shared vision,” said Jean Shih, President, AMAX. “Data is gold if it’s organized and analyzed correctly, and in highly competitive markets, this translates into reaching more revenue faster and on a larger scale, yet with precise incision. PHAT-DATA40G powers Hadoop with the most powerful and user-friendly engine on the market for this very goal, to give companies a real competitive edge quickly and dynamically using data-driven business intelligence.”
Read the Full Story.
In this video, Dr. Eng Lim Goh from SGI presents: Data Intensive Computing. Recorded at the 2012 National HPCC Conference in Newport.
Dr. Goh always gives great talks and this one is no exception. The presentation includes remote demos of SGI’s Big Data capabilities.
Here are the three videos Dr. Goh points to at the end of the talk:
In related news, today SGI announced that the DoD Supercomputing Research Center will install a 1.5 Petaflop SGI ICE X supercomputer. Read the Full Story.
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