A critical aspect of any successful flight project is the ability to correctly interpret raw telemetry data in order to monitor the health of the spacecraft and resolve anomalous behavior. The main obstacle comes from organizing massive volumes of data from both the spacecraft and multiple ground data systems into time-discrete trends and patterns. The EPOXI flight mission has been testing a new commercial system, Splunk, which employs data mining techniques to organize and present spacecraft telemetry data in a high-level manner. By abstracting away data-source specific details, Splunk unifies arbitrary data formats into one uniform system. This not only reduces the time and effort for retrieving relevant data, but it also increases operational visibility by allowing a spacecraft team to correlate data across many different sources. Splunk's scalable architecture coupled with its graphing modules also provide a solid toolset for generating data visualizations and building real-time applications such as browser-based telemetry displays. EPOXI's experience using the Splunk system has demonstrated that employing modern searching and indexing techniques improve the overall operational intelligence of the team. Splunk also serves as a robust backend for developing new mission operation tools.
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