Visit additional Tabor Communication Publications
February 26, 2013
SANTA CLARA, Calif., Feb. 26 – DataDirect Networks (DDN) today unveiled the hScaler appliance, a significant breakthrough over existing analytics applications. The industry’s first Apache Hadoop platform for Big Data with integration and flexibility optimized specifically for the enterprise, DDN’s hScaler appliance is engineered to enable IT departments to power Hadoop-based analytics without the pain or learning curve which have typically limited mainstream Hadoop adoption in the market.
A fully-tuned and factory-configured appliance that includes an integrated ETL engine, the hScaler product offers a seamless plug-and-play experience with a single-pane-of-glass management interface to simplify monitoring of the entire Hadoop infrastructure. In addition, by offloading data management functions to highly available storage, DDN hScaler technology delivers much better performance during a server failure as compared to commodity clusters.
In contrast to traditional approaches that build Hadoop on server-based clusters, the hScaler appliance uniquely combines the highest throughput shared storage, powered by DDN’s unique Storage Fusion Architecture (SFA) capabilities, with a robust and high performance server framework. Analytics performance is increased by up to seven times, minimizing infrastructure requirements and greatly driving down TCO.
By applying DDN’s decade-long technology innovation and expertise in deploying storage for the world’s fastest computers, DDN is resolving key scalability and systems management challenges with the hScaler product, an appliance which is not only IT friendly but also focused on deriving business value at scale.
Precision-Engineered to Dramatically Lower TCO
DDN’s hScaler appliance takes a unique approach to Hadoop, with a scalable unit design that leverages the award-winning SFA12K platform, a 40 GB/s InfiniBand storage appliance that crunches Big Data with 1.4M sustained SSD IOPS in real-time.
With four times the density of conventional systems, the hScaler appliance greatly reduces the hardware, data center rack space and cooling overhead. Additionally, by allowing users to scale capacity and compute independently, the hScaler platform eliminates costly overprovisioning to precisely fit workload and budget requirements.
A highly flexible and powerful ETL engine with over 200 data connectors streamlines data ingestion, manipulation and integration, thereby eliminating programming requirements for data scientists.
DDN’s hScaler product comes prepackaged with DDN DirectMon software, a powerful, intuitive single-pane-of-glass solution for configuring and monitoring all aspects of hScaler hardware and software. This intuitive cluster management framework simplifies overall administration to further lower overhead and TCO.
“DDN’s hScaler appliance represents the next step forward in the democratization of Big Data: It takes an advanced analytics solution that was economical for only the richest and most information-driven organizations in the world and puts it well within the grasp of enterprise CIOs," said Jean-Luc Chatelain, executive vice president of strategy and technology at DDN. "For enterprises seeking to maximize the value of their information, hScaler technology presents an opportunity to do so at a lower cost — in terms of time, money, and resources — than ever before."
Delivering further peace of mind, the entire hScaler stack is supported around the clock by DDN’s experienced support and services team of Big Data experts.
Source: DataDirect Networks
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Supercomputing veteran, Bo Ewald, has been neck-deep in bleeding edge system development since his twelve-year stint at Cray Research back in the mid-1980s, which was followed by his tenure at large organizations like SGI and startups, including Scale Eight Corporation and Linux Networx. He has put his weight behind quantum company....
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.