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Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named “Daytona.” Project Daytona is designed to support a wide class of data analytics and machine learning algorithms. It can scale out to hundreds of server cores for analysis of distributed data.

Project Daytona was developed as part of the eXtreme Computing Group’s Cloud Research Engagement Initiative, making its debut at the Microsoft Research Faculty Summit. One of the most common requests we have received from the community of researchers in our program is for a data analysis and processing framework. Increasingly, researchers in a wide range of domains—such as healthcare, education, and environmental science—have large and growing data collections and they need simple tools to help them find signals in their data and uncover insights. We are making the Project Daytona MapReduce Runtime for Windows Azure download freely available, along with sample codes and instructional materials that researchers can use to set up their own large-scale, cloud data-analysis service on Windows Azure. In addition, we will continue to improve and enhance Project Daytona (periodically making new versions available) and support our community of users.

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