Session Details

Crunching through big data with MBrace, Azure and F#  

Level :
Date :
3:30 PM Saturday
Room :
Track :
Interested : (37) - Registered : (-)


For data exploration and rapid prototyping, the productivity of an interactive scripting environment is hard to beat: simply grab data, run code, and iterate based on immediate feedback. However, that story starts to break down when the data you have to process is big, or the computations expensive. Your local machine becomes the bottleneck, and you are left with a slow and unresponsive environment. In this talk, we will introduce, an open-source and free engine for scalable cloud programming. Using the MBrace programming model, you can keep working in your beloved familiar scripting environment, and easily execute C# or F# code on a cluster of machines on Azure. We will focus primarily on live demos, from provisioning an Azure cluster, to analyzing large datasets in a distributed fashion; in particular, we will discuss how this setup is relevant to data science and machine learning.

The Speakers


Mathias Brandewinder

I have been writing software on .NET for 10 years, mostly C#, until I fell in love with F# and functional programming. I enjoy arguing about code and how to make it better, and get very excited when discussing testing or F#. My other professional interests are applied math and machine learning. If you want to know more about me, you can check out my blog here or find me on Twitter as @brandewinder.
  • Not Interested
  • Interested