The Higgs boson at CERN and this year’s publication of the fifth assessment report by the Intergovernmental Panel on Climate Change. Both are stunning examples of thousands of researchers collaborating to push the boundaries of data-intensive science. But whether you’re part of a big team in one of the world’s biggest research facilities or a lone ranger at a small university lab, today’s research challenge remains largely the same: more data, more analysis, less time.
So, how can research breakthrough and insights be accelerated? Considering the amount of data, cloud computing might be the perfect answer. In order to make the most of it, today we are excited to announce the free, three part Windows Azure Webinar series starting November 20.
These one-hour interactive sessions will bring why is cloud computing useful and how it can boost your research in a practical way. Furthermore, if you have any questions they can be answered live during the sessions. Join us!
Moreover, the Windows Azure for Research program is landing on Europe. This week (11–15 November), around 100 researchers will converge on ETH Zurich and the Microsoft Research-INRIA Joint Research Centre near Paris for hands-on training on how to use Windows Azure to simplify their data-intensive work. These two-day courses (11–12 November at ETH Zurich; 14–15 November at the Joint Centre) cover everything from Linux virtual machines, IPython, scaling out R and MATLAB calculations, cloud storage, sensor data processing, and, of course, big data processing. Sign up now to secure your place and get hands-on experience developing and deploying your research applications in the cloud:
In addition to the trainings, we’re offering substantial allocations of Windows Azure storage and compute resources for selected proposals through the Windows Azure Research Awards Program. (Learn more about the awards.) We’re currently working with dozens of research teams across the world who responded to the first RFP, including European researchers from the British Library, STFC Rutherford Appleton Laboratory, Pantheon-Sorbonne University, Politecnico di Milano, Freiburg University, University College London, Newcastle University, INRIA, Vavilov Institute of General Genetics Russian Academy of Science, and the University of St Andrews. The range of projects is pretty broad, from bioinformatics and environmental science to image processing and Science 2.0.
What are you waiting for? Take advantage of the cloud and make your research more scalable, easier and faster.
Originally published in Microsoft Research Connections blog