Microsoft unveiled details about its upcoming platform to access and manipulate large data sets, dubbed “Project Daytona,” at the company’s 12th annual Faculty Summit this week.
Microsoft said the platform will expand the toolset for scientists in need of large-scale data computation capabilities and is designed to run a wide class of analytics on Microsoft’s Windows Azure cloud computing environment.
“Daytona gives scientists more ways to use the cloud without being tied to one computer or needing detailed knowledge of cloud programming – ultimately letting scientists be scientists,” Dan Reed, corporate vice president of the technology policy group at Microsoft, said in a briefing statement.
“We’re very excited to empower the research community with this enhanced tool kit that will hopefully lead to greater scientific insights as a result of large-scale data analytics capabilities.”
The three-day Faculty Summit allows computer scientists, academics, educators and government officials to gather with Microsoft researchers to discuss computing challenges and trends. Key topics at this year’s summit include cloud computing initiatives, natural user interface, and machine learning.
The summit also provides an opportunity to showcase student work from an ongoing cloud project called Project Hawaii. Launched in 2010, Project Hawaii provides students with tools, services and equipment to create their own cloud-enabled mobile applications using Windows Azure and Windows 7.
One of the projects being showcased is an initiative at Stanford University called “myscience.” The application allows individuals to contribute to a variety of science research projects by gathering information using sensors on their smartphones.
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