Project Daytona from Microsoft Research – Free tool kit for scientists who require large-scale data computation

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.

Key Properties of Project Daytona:
– Designed for the cloud, specifically for Windows Azure
– Designed for cloud storage services
– Horizontally scalable and elastic
– Optimized for data analytics

In a Microsoft presspass, Dan Reed, corporate vice president of the Technology Policy Group at Microsoft said;

‘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. 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.

Project Daytona on Window Azure is now available and can be downloaded from here, along with a deployment guide, developer and user documentation, and code samples for both data analysis algorithms and client application.

For more on Project Daytona, visit Microsoft Research.


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