Data lakes for Big Data analytics

Creating the Active Data Lake for Big Data Analytics

The #hyper-converged architecture of the new Hitachi Hyper #Scale-Out Platform (HSP) provides a compute performance and on-demand capacity. Capable of ingesting massive amounts of mixed data types across a distributed, clustered architecture, the simple, automated management of HSP allows elastic data growth by using Hitachi file system technology with open source management and virtualization software. HSP is the ideal scale-out platform for Hadoop environments, allowing users to analyze data in place and eliminate the need to move large data sets to perform analytics functions for big data. Read more.