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IBM Big Data Technology Helps South Korea’s Meteorological Administration Increase Accuracy of Weather Forecasting

By Guest PostFebruary 27, 2013Technologyaircraft, balloons, barometric pressure readings, big data, cheollian, data per second, data storage system, environmental conditions, environmental problems, gigabytes, gpfs, gyoung hyun lee, high capacity data, historical data, hwangsa, ibm, ibm korea, images, jung uk tak, kma, meteorological administration, meteorological data, meteorological satellite, mongolia, natural disasters, nmsc, northern china, observations from satellites, petabytes, predictive environmental forecasting, real time analysis, sand storms, ships, south korea, spring season, technologies on earth, temperature, terabytes, trajectory, typhoon, wind speeds

South Korea’s most powerful data storage system helps tackle weather’s data deluge

Seoul, SOUTH KOREA – 27 Feb 2013: South Korea’s Meteorological Administration (KMA) and IBM today announced a project to help KMA and its affiliate, the National Meteorological Satellite Center (NMSC), tackle Big Data for better, more accurate and predictive environmental forecasting.

As South Korea’s national meteorological organization, KMA’s mission is to protect citizens’ lives and property from natural disasters and support economic activities sensitive to environmental conditions. (more…)

IBM Boosts Smarter Computing Initiative to Help Customers Tackle Big Data

By Guest PostJune 4, 2012Technologybig data, cloud portfolio, dx360 m4, fourteen data rate, global cios, gpfs, gpus, high-performance computing, hpc, ibm, ibm cognos, ibm easy tier, ibm smarter storage, ibm system x idataplex, it leaders, ltfs, nvidia, parallel file system, platform computing, rick haverty, rod adkins, san volume controller, smarter computing, storwize v7000, svc, system storage ds3500, tivoli storage, tpc, tslm

• New IBM Smarter Storage approach provides for greater performance, efficiencies
• Real-time Compression, LTFS management, and Tivoli upgrades lift storage systems
• IBM makes technical computing more accessible to enterprise customers; IBM Platform Computing software enables technical computing systems to deliver faster results

Armonk, N.Y. – 04 Jun 2012: IBM today accelerated its Smarter Computing initiative by announcing a broad array of performance and efficiency enhancements to its storage and technical computing systems – the engines of Big Data. (more…)

Made in IBM Labs: Researchers Demonstrate Breakthrough Storage Performance for Big Data Applications

By Guest PostJuly 22, 2011Technologyalmaden, bruce hillsberg, data environments, data management, doug balog, financial analysis, general parallel file system, gpfs, ibm, ibm easy tier, ibm information archive and ibm long term file system, ibm researchers, ltfs, massive data sets, multi system parallelization, multi zettabyte world, one billion files in three hours, reno, risk-management, scale out network attached storage, scientific research, seismic data processing, size of digital data, solid state storage appliance, sonas, storage systems, storwize v7000, supercomputing 2007, weather modeling

*IBM GPFS Storage Technology Scans 10 Billion Files in 43 Minutes*

SAN JOSE, Calif., – 22 Jul 2011: Researchers from IBM today demonstrated the future of large-scale storage systems by successfully scanning 10 billion files on a single system in just 43 minutes, shattering the previous record of one billion files in three hours by a factor of 37.

Growing at unprecedented scales, this advance unifies data environments on a single platform, instead of being distributed across several systems that must be separately managed. It also dramatically reduces and simplifies data management tasks, allowing more information to be stored in the same technology, rather than continuing to buy more and more storage. (more…)

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IBM Big Data Technology Helps South Korea’s Meteorological Administration Increase Accuracy of Weather Forecasting

IBM Boosts Smarter Computing Initiative to Help Customers Tackle Big Data

Made in IBM Labs: Researchers Demonstrate Breakthrough Storage Performance for Big Data Applications