February 14, 2013
MENLO PARK, Calif., Feb. 14 – Elastic Intelligence, developer and marketer of the Connection Cloud, announced today it has concluded its beta stage with 2,000-plus companies using its groundbreaking PaaS (Platform-as-a-Service) that enables instant access to virtual SaaS data.
Through key partner alliances, the Connection Cloud connects users to previously-siloed, SaaS data sources, allowing them to instantly combine and virtualize the information to create up-to-the-minute reports for sales and marketing analysis, financial reporting or other business intelligence insights.
Leading the Connection Cloud to this next level of success in 2013 is new CEO Ajay Singh, an enterprise software veteran with a stellar track record in accelerated growth. Singh is working with Elastic Intelligence founder and the Connection Cloud architect and CTO Roger Sippl to direct the company’s business strategy and to expand on the company’s strong foundation of key partner alliances.
“Our user adoption rate, particularly in the financial management market, tells us that they’re having trouble reporting on their SaaS data and the time is right for an easy, economical solution. During 2013 and beyond, we will aggressively expand our list of supported SaaS applications on the Connection Cloud, furthering our position as the only company in the marketplace that enables you to instantly connect your favorite reporting solution to your virtualized SaaS data sources at a highly-affordable subscription price,” said Connection Cloud CEO Ajay Singh.
In just six months since product beta launch, Elastic Intelligence has established itself as a force in the virtual SaaS data marketplace by:
About Connection Cloud
Connection Cloud, developed and marketed by Elastic Intelligence, is the first and only real-time SQL-based Platform-as-a-Service for connecting to virtual SaaS data for reporting, business intelligence (BI), and application development. Using Connection Cloud, business users and application developers can access their virtual SaaS data from where it resides, eliminating the need for a complex on-premise data warehousing, or additional IT support. The company was incorporated in 2008 and is based in Menlo Park, California.
Source: Connection Cloud
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.