New HSP Series of HDS Enhancing Cloud and IoT Data Analytics

By CIOReview | Monday, February 8, 2016

FREMONT, CA: Based on a report by Holly Morgan on ARN, Hitachi Data Systems Corporation (HDS), a wholly owned subsidiary of Hitachi Ltd., has released next generation of Hyper Scale-out Platform (HSP) 400 series which can be easily incorporated into Pentaho Enterprise Platform.

This new platform provides an even more superior performance than its previous HSP series. The HSP 400 series assists big data analytics, embedded business analytics and simplification of complicated data management processes through an enterprise-ready infrastructure, HDS said.

The smart architecture provides a centralized user interface which facilitates automated deployment and management of virtualized environment for open source big data infrastructure such as Apache Hadoop, Apache Spark and commercial open source stacks.

“The enterprise consumers are expressing their distress that data silos and complexity are growing worse in their scale-out and big data deployments,” says Sean Moser, Senior Vice President of global portfolio and product management, HDS.

“For enhancing the data management, our HSP platform gives an appropriate infrastructure based on Cloud and Internet of Things (IoT) for big data deployments and a pay-as-you-go model that moves up with business growth. Integration with Pentaho Enterprise Platform will enable the IoT data to work faster than ever before,” says James Dixon, Chief Technology Officer, Pentaho. The HSP-Pentaho appliance provides customers cost-effective, enterprise-class option to consolidate all their data sets and workloads through a modern, scalable, hyper-converged platform that fosters simplicity.

The new HSP series of Hitachi simplifies the entire analytics process and gives customers an absolute control over the analytic data pipeline, a resource from HDS said. The ultimate aim of this HSP platform is to save time and money of the users and boost up the performance of big data and IoT in data analytics.