Building out a Hadoop cluster with massive amounts of local storage is a considerably extensive and expensive undertaking, especially when the data already resides in a POSIX compliant Lustre file system. Now companies can adopt analytics written for Hadoop and run them on their HPC clusters.
With the release of Intel® Cloud Edition for Lustre software in collaboration with key cloud infrastructure providers like Amazon Web Services (AWS), commercial customers have an ideal opportunity to employ a production-ready version of Lustre—optimized for business HPDA—in a pay-as-you-go cloud environment.
IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.
This webinar is focus on understanding active risk management with high performance data and grid management.
By Nikita Ivanov, CEO of GridGain in Memory Computing. In the last 12 months we observed a growing trend that use cases for distributed caching are rapidly going away as customers are moving up stack… in droves. Let me elaborate by highlighting three points that when combined provide a clear reason behind this observation.
In this special guest feature, Anchita Magan from [x]cube DATA writes that the element of quality has to be considered in quantifiable data. Significance of Big Data The entire cosmos has been turned into an aggregated ocean of Data – structured or unstructured, systematic or unsystematic, useful or useless. This zillion of roughly organized data […]
Clipped from: www.datadrivenbiz.com (share this clip) To mark the launch of their Big Data for Enterprise conference (June 27-28, San Francisco), Data Driven Business has commissioned a FREE 5000 word report full of practical advice, recommendations and predictions from big data experts. The report includes insights on the current big data technology landscape – advice […]