Applications in various domains are increasingly shifting their focus from processing historic data to analyzing streaming data in an online fashion. The benefit they get by continuously tracking internal and external processes, is that they can react to significant situations in a timely and efficient manner.
In this talk, I will present some application scenarios other than sensor networks, that are gaining popularity in the business world. I will focus on the discussion of a particular problem in this space, namely deviation detection in streaming data, and present our approach for solving this problem in a distributed manner. Finally, I will also talk about some other work we are currently doing in the context of streaming data management.