This talk will demonstrate how to use a publicly available dataset of air quality sensor readings, clean and query the data, and visualize the data enabling the government and public to take appropriate actions. I will use a publicly available dataset from the epa.gov and the The U.S. Department of State Mission China air quality monitoring program. The set consists of data from devices that are sending measurements for San Franciso and Beijing. The air quality data measurements is enriched with extra data in the form of weather data from weather.gov to give the data additional context. We will then visualize the enriched data and see how the data relates to Air Quality. The technology stack leveraged comprises of Mesos, Zookeeper, Marathon, Docker, Riak TS, Kafka, Spark, Zeppelin.