Crunching through Big Data with Azure
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Mathias Brandewinder, autor del libro Machine Learning Projects for .NET Developers, Microsoft MVP y organizador del Meetup de F# en San Francisco, nos visitará el 26 de mayo y nos ofrecerá una charla sobre cómo analizar Big Data con scripts interactivos en C# o F# usando la librería MBrace.net para aprovechar todo el potencial de Azure de una forma casi transparente para el desarrollador.
La charla se dará en inglés y abajo encontraréis más detalles sobre su contenido. Si tenéis cualquier duda, no tenéis más que escribir un comentario y la resolveremos enseguida.
¡Os esperamos!
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. Should you give up on scripting then?
In this talk, Mathias Brandewinder will give an introduction to MBrace.net, 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 your C# or F# code on a cluster of machines on Azure. We will focus primarily on live demos, from provisioning an Azure cluster with Brisk, to running distributed computations on large datasets; in particular, we will discuss how this setup is relevant to data scientists who want the best of both worlds - an interactive scripting development, with the scalability of Azure.
@brandewinder