Batch data flow design
Batch applications are always constrained by execution time windows. They must complete the extraction, transformation, and load of large amounts of data in limited time windows. If the execution fits in a certain expected amount of time, performance requirements are met. However, it is not enough to meet initial expectations narrowly. Jobs must be able to scale, as data volumes grow.
Parallel batch jobs must be implemented with parallel techniques that yield the necessary scalability, which is the focus of this chapter. ...

Get InfoSphere DataStage Parallel Framework Standard Practices now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.