Data mining, the problem of finding patterns in big datasets is both computational, storage and communicational intensive. And so it would seem to be an ideal candidate for moving to the cloud, right? In this talk we look at a case study where the Azure platform was chosen and on-site market basket analysis solution ported to .NET. We look at the families of solutions and point to their respective strengths and weaknesses. After the talk you should be better armed to choose between different tradeoffs in cloud solutions.
Keywords: Cloud, Distributed computing, Scaling, Apriori, data mining, Market Basket Analysis, FP-Growth, Azure, .NET.
Target audience: This talk is targeted at developers and other professionals who need to make solution decisions for cloud based applications. If you think that Data Mining is cool, you are invited too.
Research and Innovation Scientist
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