Aerospace Industry 

 A European aerospace manufacturer wanted to digitize the production line of liquid rocket fuel tanks to predict and prevent breakdowns and production delays. Data from sensors and microphones on the production line are collected through Spark Streaming to a Kafka server and orchestrated to a Cloudera cluster, where data scientists employ CDH 6.1 to foresee potential breakdowns and fix problems before production delays begin. The clusters run in an AWS environment on a pay as you go basis, thus saving on the costs of maintaining clusters.