Awesome

Storm Tutorial

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.

License

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

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

About the Author

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