Microsoft's "Daytona" Analyzes Scientific Data In The Cloud

It won't be the first time that scientists have used Microsoft software for data analysis, but it may be the first time Microsoft has released a data analysis tool specifically designed for scientists. The tool, code named "Daytona," was designed to enable scientists to run a variety of algorithms on the Azure platform.

By using the Microsoft Azure cloud computing platform, scientists will be able to process very large amounts of research data. As Dan Reed, VP of Microsoft's Technology Policy Group, put it, "'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."

It won't be the first time that scientists have used Microsoft software for data analysis, but it may be the first time Microsoft has released a data analysis tool specifically designed for scientists. The tool, code named "Daytona," was designed to enable scientists to run a variety of algorithms on the Azure platform.

View Article



Comments

  • There are no comments yet. Be the first to comment!

Leave a Comment
  • Your email address will not be published. All fields are required.

Top White Papers and Webcasts

  • IT is in a continual battle to simplify and "do more with the same, or less," but the continued growth of data has drastically increased the complexity and cost of deploying, managing, and processing data using traditional IT infrastructure components. One key component — enterprise storage and the underlying software that controls the storage — is fortunately evolving nearly as fast as the data is growing. This ESG Lab Review documents the results of hands-on testing of the WekaIO Matrix …

  • In this highly valued report, you'll learn the results of "The Forrester Wave™: Hybrid Integration For Enterprises, Q4 2016" extensive research of the top Hybrid Integration Solutions, including each product's overall ranking, specific capabilities and strengths and weaknesses.

Most Popular Programming Stories

More for Developers

RSS Feeds

Thanks for your registration, follow us on our social networks to keep up-to-date