Partitioning data allows you to distribute all the data from a set into distinct subsets according to the rule applied on a table or row, where these subsets form a partition of the original set with no item replicated into multiple groups.
Partitioning data is an important feature for scaling up and scaling out your Pentaho Data Integration transformations and jobs. Scaling up makes the most of a single server with multiple CPU cores, while scaling out maximizes the resources of multiple servers operating in parallel.