How To Build The World’s Largest IoT With Raspberry Pi And Google BigQuery #piday #raspberrypi @Raspberry_Pi
Make the worlds’s biggest IoT platform using Raspberry Pi and Google BigQuery. via medium.com
This is my weather station built with RasPi. It took only several hours in my weekend to build this, but it’s already capable of deploying the world’s largest IoT platform. Why? Because it directly sends the metrics to Google BigQuery, the massively parallel query engine from Google Cloud Platform which is able to collect one million rows of metrics every second and execute query on terabytes of data in 10 seconds.
So, you can start deploying millions of this box to collect temperature, humidity and atmospheric pressure (or any metrics if you add sensors) from everywhere in the world, right now. I don’t have to do anything more to build a large distributed frond ends, load balancers, app servers and super-fast database cluster with scaling out, fail-over, replication and etc — the complications required to build a large production IoT platform. BigQuery has them all in Google’s largest Datacenter with Google scale and quality.
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