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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.

SoftElegance has started to explore this new data analysis and processing framework under the SoftElegance Research Lab initiative which officially will be started next month.

Project Daytona was developed as part of the eXtreme Computing Group’s Cloud Research Engagement Initiative. The project Daytona MapReduce Runtime for Windows Azure was developed for the organizations who have large and growing data collections and need tools to find signals in data and uncover insights.

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