February 19, 2013
BURLINGTON, Mass., Feb. 19 - Attunity Ltd., a leading provider of information availability software solutions, announced today the imminent release of an optimized data loading solution for Amazon Redshift, AWS’s new data warehouse in the cloud. Attunity’s offering is being designed to provide a high-speed, scalable and fully-managed solution designed to move data from enterprise databases into Amazon Redshift quickly, easily and affordably. The new Attunity solution is expected to be available for customer preview in March 2013.
Data warehousing has long been a critical enabler for business intelligence and growth, used by many enterprises to enable Big Data analytics. Amazon Redshift brings to market an innovative approach to data warehousing, leveraging cloud computing to enable significant reductions in the total costs of owning and operating a data warehouse. While organizations look to capitalize on these potential gains in agility and cost, they face the challenge of moving large amounts of information from their on-premises data centers into Amazon Redshift in the cloud. Attunity’s solution will be designed to simplify this process, leveraging high-performance database replication, ease of use, and high-speed data transfer technologies.
“Technology partners play an important role in the Amazon Redshift ecosystem and Attunity’s solution offers customers an efficient way to move their data into Amazon Redshift,” said Terry Wise, Head of Worldwide Partner Ecosystem at AWS. “The high performance and ease of use that Attunity’s solution will provide will make it even easier for our customers to realize the business and cost-saving benefits of Amazon Redshift.”
“Attunity is thrilled with the launch of Amazon Redshift, which can provide enterprises with the opportunity to significantly reduce the costs of data warehousing and derive competitive advantage from Big Data analytics,” said Itamar Ankorion, Vice President of Business Development and Corporate Strategy at Attunity. “Attunity’s solution is being uniquely architected for high-speed data loading from enterprise databases to Amazon Redshift, designed to alleviate the data transfer bottleneck, and accelerate time to value. We are focused on enabling customers to benefit from the economies of cloud computing.”
Attunity is a leading provider of information availability software solutions that enable access, sharing and distribution of data across heterogeneous enterprise platforms, organizations, and the cloud. Our software solutions include data replication, change data capture (CDC), data connectivity, enterprise file replication (EFR), managed-file-transfer (MFT), and cloud data delivery. Using Attunity’s software solutions, our customers enjoy significant business benefits by enabling real-time access and availability of data and files where and when needed, across the maze of heterogeneous systems making up today’s IT environment.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
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.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.