Demonstrates realtime stream processing with the Storm framework.

This tutorial shows a simple financial application:

• The data source ("spout" in Storm parlance) is a price feed with live price data for a set of financial instruments.
• The data is consumed by candlestick chart generators sampling it and collecting min/max and open/close data.

The tutorial demonstrates:

• Spouts, the data sources.
• Bolts, the functions to consume and transform data.
• Topology, setting up the data stream flow.
• How to add custom serialization formats for new data types.

Copyright (C) 2011 Martin Jul (www.mjul.com)

Distributed under the MIT License. See the LICENSE file for details.

Martin Jul is a software architect and partner in Ative, a Copenhagen-based consultancy specialized in doing and teaching lean software development.

His work is currently focused on building distributed, high-performance low-latency financial trading applications.

He is also organizing of the Copenhagen Clojure meet-ups:

• Twitter: @mjul
• Work: Ative
• Blog: Ative at Work
• Copenhagen Clojure Meet-Up dates here