I had another post in mind for this recent week, got a bit busy, and then Google previews a new big data processing service that’s native and only available in the cloud.

Google Cloud Platform

This has the potential to be huge, literally. I am also presuming that you need large physical connections to get your live stream of data into it at a good pace to take real advantage. I think you’ll also need to be dealing with huge volume data streams.

Ingesting, cleansing and transforming huge volumes of data, in real time for real time analysis makes for interesting possibilities. Now I want to go look for some use scenarios that are applicable for the less than super massive data generating companies. I am thinking it could be an interesting platform for health and government data. I also wonder how it can be used in conjunction with some heavy engineering analysis.

I’d love to hear your thoughts. Meanwhile, here’s where I read about it:

http://techcrunch.com/2014/06/25/google-launches-cloud-dataflow-a-managed-data-processing-service/

It’s not so much visual, but you have to get answers before you have information to show. Want to query petabytes of data in a matter of seconds?

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Renee DiResta got to wondering about state stereotypes, so she looked them up on Google and mapped them.

In the months before a US Presidential election, the quality of political discourse hits new lows. Blue State/Red State tropes dominate the news cycle as the media gins up outrage over perceived injustices in the culture wars. It’s all about our differences. So I started wondering, how do Americans really think about “those people” in other states? What are the most common stereotypes? For each of the fifty states and DC, I asked Google: “Why is [State] so ” and let it autocomplete. It seemed like an ideal question to get at popular assumptions, since “Why is [State] so X?” presupposes that X is true.

[FlowingData via @rachelbinx]