Sensor networks, in addition to stock tickers, network event logs, scientific simulations, credit card transactional flows, and surveillance video cameras, output a continuous flow of data, called a data stream. Mining data from a network of sensors provides insight into the health and reliability of a system. This process is known as data stream mining. This paper examines the issues associated with mining these sensor data streams and the challenges related to storing some or all of this data. This paper will identify opportunities for future work in mining and storage of data streams.