Real-time data representation conversion in a distributed deployment using InfoSphere Streams native functions

Using the function overloading concepts of C++ with native functions of InfoSphere Streams®

From the developerWorks archives

Bharath Devaraju and Mohan Dani

Date archived: August 4, 2016 | First published: September 20, 2012

InfoSphere® Streams provides the capabilities for handling/reporting data or events as they happen in real time. But sometimes when running a distributed application on multiple platforms where data flows between machines having different processor architectures, the task can be challenging. Due to variations in processor architectures, the data representation may differ, requiring the application developer to convert the representation before applying the required logic. This is true especially if the data is in binary format. By performing data format conversion at real time, soon after data is read from source, more consistent and meaningful results can be obtained.

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ArticleTitle=Real-time data representation conversion in a distributed deployment using InfoSphere Streams native functions
publish-date=09202012