Sensors have been all around us for a long time: In our homes, buildings, cars, even in our pockets and around our wrists. The difference today is that these devices are becoming increasingly network-enabled and low-cost. Gartner predicts there will be 26 billion devices on the Internet of Things by 2020. Capturing and analyzing the data from these devices provides a wealth of opportunity, but where do you start?
In this session Taylor Goetz, Apache Storm committer, PMC chair, release manager and member of Technical Staff at Hortonworks, will look at how streaming sensor data fits into a variety of (I)IoT analytics use cases, and how Apache Storm and Kafka fit into an overall architecture for large-scale streaming analytics. You will also learn how to leverage the highly accessible Arduino microcontroller platform to create low-cost sensor networks and stream data to Apache Storm for analysis in real time. Finally, we will give a live demonstration of sensor analysis using Kafka, Storm, and an out-of-the-box Arduino board (no soldering required!).