Serverless MapReduce with .NET

Do you want to process huge amounts of data (e.g. server logs) in a scalable & parallel fashion, while using your favourite tool set? Do you want to ask some questions of an interesting data set, but you feel limited to RDMS & NoSQL? Do you feel that, just because .NET is your language of choice, that you are a second-class (programming) citizen when it comes to available MapReduce tools?

In this talk Chris will discuss the pros and cons of leveraging the MapReduce programming model in a serverless cloud environment with .NET, and show a real world example -- from architecture right down to the code.

There'll be:

• an introduction to MapReduce (no prior knowledge on big data or MapReduce is required)

• a discussion on what serverless really means, and an introduction to the options available

• a worked example of serverless MapReduce with .NET, aiming to answer real questions with real data.

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