The Streams Quick Start Guide is intended to help you get up and running with InfoSphere Streams quickly. We will first introduce the basic concepts and building blocks. And then we will write a very simple Streams application, and demonstrate how you can run and monitor this application in the Streams distributed runtime environment.
Depending on which toolkit / operators you are using, additional RPMs and client libraries are required to be installed.
Some operators require certain environment variables to be set. This is a summary of the additional setup required by the specialized toolkits.
In this article, I’m going to give you two simple applications that can serve as starting points for Text Analytics applications on Streams. The first example will use BigInsights Text Analytics to do normalization of terms. The second example will show how to tokenize, both with the simple SPL function, and using the more full-featured BigInsights Text Analytics.