In this post, I’ll give a quick overview of upcoming distributed streaming machine learning framework, Scalable Advanced Massive Online Analysis (SAMOA). As I mentioned before, SAMOA is part of my and Antonio’s theses with Yahoo! Labs Barcelona.
What is SAMOA?
SAMOA is a tool to perform mining on big data streams. It is a distributed streaming machine learning (ML) framework, i.e. it is a Mahout but for stream mining. SAMOA contains a programing abstraction for distributed streaming ML algorithms (refer to this post for stream ML definition) to enable development of new ML algorithms without dealing with the complexity of underlying streaming processing engines (SPE, such as Twitter Storm and S4). SAMOA also provides extensibility in integrating new SPEs into the framework. These features allow SAMOA users to develop distributed streaming ML algorithms once and they can execute the algorithms in multiple SPEs, i.e. code the algorithms once and execute them in multiple SPEs.