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Robert Haas (@robertmhaas): Why The Clock is Ticking for MongoDB http://t.co/23WHnoZUR5

This post is to continue the story of my MongoDB self-learning back in January. Also, the theme for March self-learning is about Windows Azure, thus I guess it’s a good opportunity to combine these two knowledge together. So, let’s continue the story now.

Basically, after the one-month MongoDB learning in January, I have successfully built a simple web application allowing users to add pinpoints on Google Map and store those info on MongoDB. However, all those are happening in local machine. So, how to do that if we would like to deploy it on, for example, Azure for the public to access?

Fortunately, with the help of Microsoft WebMatrix, the whole process is rather simple and straight-forward.Basically, after the one-month MongoDB learning in January, I have successfully built a simple web application allowing users to add pinpoints on Google Map and store those info on MongoDB. However, all those are happening in local machine. So, how to do that if we would like to deploy it on, for example, Azure for the public to access?

Fortunately, with the help of Microsoft WebMatrix, the whole process is rather simple and straight-forward.

When Hadoop is integrated with modern retail operations, it dramatically reduces the cost of capturing, ingesting, storing and analyzing data.

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