Really Big Data in Real-Time: IoT Machine Data Processing in CrateDB & Grafana
If you have been following the IoT-trends since before the Internet-of-Things was cool, then you probably are aware that the results of having Internet-of-Everything is that all of your connected devices are now pumping out data at a terrifying scale. This talk will look at ways to leverage Grafana and CrateDB to store and analyze this data in real time.
This intensive presentation will include a live demo tour of building a CrateDB cluster, populating it with machine data using Gantner Q.Station, and then using Grafana and the CrateDB datasource plugin to read realtime data from temperature, accelerometer and tweezer sensors.
CrateDB is an open source SQL RDBMS that was designed for machine data. Processing machine data on CrateDB yields 20x better predictive analytic query performance over MySQL, and with 75% less database-hardware cost.
Paul Adams is an engineering leader with over a decade of experience in agile practice within Open Source projects and companies. Paul holds a PhD from the University of Lincoln (UK), where he studied how to sustain productivity in Open Source communities.
At Crate.io he is the Engineering Director and is responsible for helping the Crate.io engineers deliver CrateDB.