A large product manufacturer wanted to understand the behavior of their products in the field and ultimately improve their reliability by predicting component failure and taking proactive action to repair/replace it.

This initiative would result in a saving of millions of dollars and time for their business operations. The analysis was difficult because of data is in Relational Data Base Management System (RDBMS) with product and components metadata, file systems with historical sensor data, streams of real-time sensor data, etc. Solving the problem required the ability to do analysis of all the data by combining data from all these sources.