FREMONT, CA — (Marketwire) — 02/26/13 — AMAX, a leading innovator of Enterprise & High Performance Computing solutions, today announced the immediate availability of , version 2.0, a comprehensive, performance-tuned package for Big Data processing and analytics enabled by the Intel® Distribution for Apache Hadoop. The PHAT-Data platform sports real-time big data processing and analytics, contains the core components of the Hadoop framework, and now simplifies the deployment of Hadoop clusters with integrated wizards and automated optimization tools, and secures data with multi-level access controls and Kerberos data encryption.
“The AMAX PHAT-Data analytics accelerator, with an Intel-verified 1-Terabyte Terasort time of only 33 minutes on a 5-node cluster, has been tuned and optimized to deliver near real-time big data processing and analytics,” said James Huang, Enterprise Product Manager at AMAX. “Now enabled by the Intel® Distribution for Apache Hadoop software, PHAT-Data simplifies the deployment of Hadoop clusters and enhances its security with hardware-assisted encryption.”
Powered by the Intel® Distribution for Apache Hadoop software, PHAT-Data provides extensive monitoring, management, and diagnostics capabilities enabling system administrators with a configurable dashboard to monitor key processing, memory, network and storage utilization metrics and ability to obtain deeper insight into the health of cluster components such as data nodes, the distributed file system, MapReduce jobs, and Java Virtual Machine. In addition, PHAT-Data now supports multiple levels of secure authentication and authorization using Kerberos and built-in access control rules. Now more robust than ever, PHAT-Data offers the same award-winning performance of the original with the addition of management and security features that allow companies to get setup faster and more cost-effectively, bypassing the need for expensive in-house Hadoop experts or consultants, so they can get to their data sooner and more dynamically for a competitive edge.
“Solutions such as AMAX-s PHAT-Data analytics accelerator working with the Intel® Distribution for Apache Hadoop Software provide easier yet more sophisticated means of deploying, managing, and monitoring Hadoop clusters,” said Girish Juneja, General Manager, Big Data Software, Intel Corporation.
Today-s connected world brings with it the arrival of massive amounts of data being generated by over 5.3 billion mobile devices and consuming greater than 3,000 exabytes of raw data collected from integrated systems and cloud traffic. The growth of big data presents both challenge and opportunity. Where traditional data processing can typically cost $50k per terabyte, when harnessed for big data, PHAT-Data can process data at a cost below $1k per terabyte, bringing new levels of analysis and ROI for those in Telecom, Retail, Financial Services, Manufactory, Healthcare, and Connected Cities.
The AMAX PHAT-Data is Production Ready and meets the most demanding availability, reliability and scalability requirements. As early adopters of and experts on Hadoop, AMAX can provide the infrastructure for Hadoop and install, configure, optimize and run Hadoop for large-scale data processing and analysis. For more information on AMAX PHAT-Data and Hadoop Professional Services, visit AMAX at: .
Founded in 1979, AMAX specializes in engineering and manufacturing advanced Cluster, Server and Storage Solutions. Headquartered in Fremont, California, AMAX globally operates ISO:9001/14001/TL9000 certified and UL approved facilities throughout North America and China to service the US, Canadian, LTAM, APAC and EMEA regions. AMAX-s expertise drives two key divisions that deliver customized computing solutions to a wide range of industries: AMAX-s Appliance Manufacturing Division provides efficient and top-of-the-line manufacturing solutions and global logistics to OEM customers while AMAX-s Enterprise & High Performance Computing Division provides innovative and scalable cluster, server, and storage products developed for HPC, Cloud, Virtualization and Big Data applications.
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Justin Quon
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