IBM Platform Computing

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Learn new ways to harness big data and accelerate analytics with software-defined storage and cloud

Andrew Jolie | 2014-09-10 14:58:37.0 | Tags:  hadoop chicargo houston software sds boston bigdata event analytics platform cloud storage defined computing roadshow | 0 Comments

Big data, analytics, software defined storage and cloud computing are converging in new ways that can help your business reach its goals. That’s why IBM is offering this complimentary, informational, half-day seminar in October where you can learn more about these trends and best practices in a city near you. Who (...)


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Why Elastic Storage is a good choice for OpenStack Object Store environments

john langlois | 2014-07-28 10:22:16.0 | Tags:  object gpfs platformcomputing hadoop sds storage bigdata data software_defined sde elastic_storage openstack objectstorage | 0 Comments

At this very moment, 80% of the data created will be unstructured. Much of the unstructured data is quite valuable. For example, sensors are collecting and generating continuous data streams from scientific experiments, wind turbines, and nuclear reactors. Marketers listen to sentiment data from social networks to quickly respond to your (...)


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An Edge 2014 Highlight - Building a Multi-tenant Big Data Infrastructure at USAA

GORDON SISSONS | 2014-05-28 16:22:38.0 | Tags:  storage big ibm usaa elastic gpfs biginsights data edge2014 multi-tenant hadoop | 0 Comments

Last week, many of us had the opportunity to travel to Las Vegas for IBM’s Annual Edge conference at the Venetian.  For those not familiar with the event, Edge is IBM’s premier conference focused on infrastructure innovation. Aside from the usual attractions of Las Vegas, a highlight was hearing Robert Ghavidel, (...)


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Ten ways that IBM Platform Computing can help you save money

GORDON SISSONS | 2014-03-05 09:53:07.0 | Tags:  hadoop clusters sde platformcomputing workload infrastructurematters resource harvesting | 0 Comments

Let’s face it - IT infrastructure is expensive. This is especially true of the type of infrastructure used for clustered HPC and analytic applications. For people not familiar with distributed workload management, claims around cost-savings can sound fanciful, so in short this post I wanted to take the time to clearly (...)


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