As the number of research workloads in the cloud grows, researchers face challenges in managing strict budgets with unpredictable workloads and fluctuating needs. Researchers must be frugal with time and money to further their goals in performing cutting-edge and important research. AWS provides many methods for effective cost management that can support organizations in their efforts to optimize the use of grant-based funds.
Advances in technology are transforming the way health research can be conducted. It is now possible to integrate data from siloed sources into a data lake, a central repository where health data are aggregated and analyzed at scale. Now, more than ever, there are opportunities for collaborative research to accelerate life-saving medical innovation – and that’s exactly what JDRF International, the leading global Type 1 Diabetes research and advocacy organization, is doing with AWS.
Many researchers use MATLAB® from MathWorks, a programming and numeric computing platform, to analyze data, develop algorithms, and create models. As a researcher, you can leverage AWS to expand available computational resources right from your desktop or laptop. In this blog post, we walk through how to integrate MathWorks Cloud Center with AWS in order to accelerate scientific computation and innovation.
Galaxy is a scientific workflow, data integration, and digital preservation platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience. Although it was initially developed for genomics research, it is largely domain agnostic and is now used as a general bioinformatics workflow management system, running on everything from academic mainframes to personal computers. But researchers and organizations may worry about capacity and the accessibility of compute power for those with limited or restrictive budgets. In this blog post, we explain how to implement Galaxy on the cloud at a predictable cost within your research or grant budget with Amazon Lightsail.
To solve some of the most pressing water and energy challenges, scientists and engineers need access to robust, reliable data that is often sensitive and protected. Data providers, researchers, and host institutions need to adhere to strict requirements for protecting and securing this data. The Center for Water-Energy Efficiency (CWEE) at the University of California, Davis (UC Davis) used AWS to create a centralized, secure data repository that streamlines data sharing.
Pearson delivers “anywhere, anytime” learning opportunities for students around the world with the cloud
Pearson delivers anywhere, anytime digital course material and learning opportunities for students globally using AWS. As a global company, Pearson turned to the cloud to deliver content globally, build agile, accessible solutions, and to power its digital transformation. With Revel and Pearson eText, Pearson provides flexible, digital learning solutions for students and instructors, including digitized textbooks with interactive, multimedia content, and assessment features. Building on AWS has helped Pearson to iterate quickly, innovate on behalf of students and educators, scale on demand, and reach learners globally.
If you are a scientific researcher, you are likely more interested in getting your research done than in the computational resources that you use to do it. You may think about ways to continue your research remotely with the rise in remote work. Did you know the cloud and Amazon Web Services (AWS) can accelerate your research and time to science? Here are five ways.
The rapidly changing and dynamic global health situation has impacted the lives of many people including researchers at universities and institutions worldwide. Many academic institutions are migrating to remote operations. Researchers are processing data, collaborating online, and trying to maintain labs remotely. Amazon and AWS are responding to these events in support of our communities and deploying resources and technology to enable remote learning and home working.