Your organization might have deployed a cluster or grid on site. But can these resources always meet your peak demands? For example, what happens when several large projects move into the same simulation and design phase at the same time? Simply adding hardware to address peak workload requirements, especially if they (...)
For more than a year, I have been talking to Cloud Application Architects at MSPs and Telcos around the world looking to develop super scalable storage-based applications to create new businesses for their organizations. They want to do everything in software and drop it on commodity hardware like they see (...)
Recently I came across an Harvard Business Review (HBR) article with the following stat: 2.5 exabytes of data are created each day, and that number is doubling every 40 months or so (Oct. 2012). An exabyte is one billion gigabytes. The article illustrates this point using Walmart as an example (...)
Taking Adaptive MapReduce out for a spin IBM InfoSphere BigInsights 2.1 was recently released and is chocked full of features. Among these are things like BigSQL, GPFS FPO, improved reliability and more. As a Platform Computing person, the most exciting new feature to me is the introduction of Adaptive MapReduce - essentially a stripped down (...)
Just as no single definition of Big Data exists, no specific cause exists for what’s behind its rapid rate of adoption. Instead, several distinct trends have contributed to Big Data’s momentum. New data sources Today, we have more generators of information than ever before. These data creators include devices such as mobile (...)
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