Real-time stream processing has many interesting applications such as electronic trading, fraud detection, network monitoring, etc.

In this talk, I will discuss a few general guidelines to consider when building real-time stream processing applications to handle high-volume data streams.

Subsequently, I will describe the approach I have used to develop Python applications to analyse data streams in real-time with Pyleus, Apache Storm and Elastic Search.