InData • ANU Large data sets and small budgets
Large upfront costs can severely limit the scope and scalability of important projects. With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.
Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.