based company unveiled some new machines May 18 that are designed to address the hot categories of scale-out object storage, big data analytics ... Scale-out storage architecture uses a number ...

In his presentation at the Strata + Hadoop World conference, titled “Unseating the Giants: How Big Data is Causing Big Problems for ... companies that have gained benefit by selecting a scale-out ...

There’s no lack of database choices when it comes to building your next big data analytics platform. Relational data stores, column-oriented databases, in-memory data grids, graph databases, scale-out ...

Much of what’s driving this new proliferation of alternatives is what’s commonly referred to as the “three V’s” underlying big data ... with their scale-out architecture, but they ...

Complex data pipelines are seemingly a necessary evil for any data-driven business striving for real-time analytics—until now. “Pipeline-free” architectures have broken out on the data ... StarRocks’ ...

The challenges in doing this streaming-mode analysis are scale and ... s already out there. That can get very, very expensive pretty quickly. Our approach to this big-data analytics problem ...

Updates to EMC Isilon's OneFS scale-out NAS operating system are designed to heighten ... Isilon will add Hadoop HDFS 2.0 integration to enable Big Data analytics, which will also support Pivotal HD.

Having said that, object storage is a less mature technology than scale-out NAS. So, to sum up, big data storage needs to be able to handle capacity and provide low latency for analytics work.

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...