Writing time series data to InfluxDB

When working with large time series data, such as a sensor or Internet of Things (IoT) data, you will need a more efficient way to store and query such data for further analytics. This is where time series databases shine, as they are built exclusively to work with complex and very large time series datasets.

In this recipe, we will work with InfluxDB as an example of how to write to a time series database.

Getting ready

You should refer to the recipe “Reading data from a time series database” in Chapter 3 “Reading Time Series Data from Databases” as a refresher on the different ways to connect to InfluxDB.

You will be using the ExtraSensory dataset, a mobile sensory dataset made available by the University of California, San Diego: Vaizman, Y., Ellis, K., and Lanckriet, G. "Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches". IEEE Pervasive Computing, vol. 16, no. 4, October-December...