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Hello World working with @NodeRED talking to @confluentinc platform. Node-RED running on a rather sparkly @Raspberry_Pi #PiZero. Kafka running on my Mac.
Now have @NodeRED sending classified tweets ( #brexit, #Christmas 
or #covid) to @confluentinc, with ksql aggregating tweets every 30s. Passing that back to #nodered where I’m making available the latest most popular topic as a REST call.
or #covid) to @confluentinc, with ksql aggregating tweets every 30s. Passing that back to #nodered where I’m making available the latest most popular topic as a REST call.
Next is to do a bit of #python to call that API and change my Christmas star pattern depending on the most recent topic. This should be the easy bit. @Raspberry_Pi #IoT #streamprocessing
Sentiment Star complete. Pulse for #brexit, blink for #covid, on for #christmas . Based on most popular tweets of the last 30s. #nodered #kafka #python #raspberrypi
. Based on most popular tweets of the last 30s. #nodered #kafka #python #raspberrypi
Now #Alexa enabled. Thanks to @hardillb's Alexa Home Skill Bridge with a bit of #mqtt plumbing via the @IBM Watson IoT Platform in Dallas. 'Turn star off' shuts off the lights and stops the flow of tweets to #kafka on my Mac, which should stop the hard drive filling up.
Now written up. If you want your own Christmas Star to be both decorative and an indicator of real-time public sentiment, see https://github.com/jonmad/SentimentStar #IoT #Kafka #RaspberryPi #NodeRED #StreamProcessing #EventDrivenArchitecture #Cognitive #OpenSource #SentimentAnalysis #MQTT
Now ported my @NodeRED app to @awscloud. Talking to my local Pi using @MosquittoMQTT. Monitored using @Dynatrace
