Let’s start the conversation here: If you work with big data in the cloud or deal with structured and unstructured data for analytics, you need software defined storage.
This webinar is focus on understanding active risk management with high performance data and grid management.
As compute speed advanced towards its theoretical maximum, the HPC community quickly discovered that the speed of storage devices and the underlying the Network File System (NFS) developed decades ago had not kept pace. As CPUs got faster, storage became the main bottleneck in high data-volume environments.
SAS is using Amazon Web Services (AWS) to help organizations improve business functions by creating flexible, scalable, analytics-driven cloud applications.
Coming to us from the recent Spark Summit 2014, here is a compelling presentation by Databricks CEO Ion Stoica that sets the stage for Spark’s continued advance in the big data ecosystem. The Databricks Cloud provides the full power of Spark, in the cloud, plus a powerful set of features for exploring and visualization your data, as well as writing and deploying production data products.