Loading temperature data to Cloud Bigtable and BigQuery-ing it

Google Bigtable is a fully managed NoSQL service with a focus on low latency and high throughput. It is well suited for storing data for large analytical processing, operation data from IoT devices, other time-series data, and so on. Cloud Bigtable is designed for performance, for huge databases (~1 TB) and it optimizes your data over time. In this recipe, we'll have a look at a small database generated by an IoT temperature sensor. We'll write a Python script to simulate a sensor sending temperature data located in a garden to the  Bigtable. Then, we'll use BigQuery to connect to the Bigtable database to query and make meaning out of the data store.

Getting ready

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