# Partitioning data You can use partitioning 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. You can scale up and scale out your transformations and jobs when you partition your data in Pentaho Data Integration. 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.pentaho.com/pdia-data-integration/archived-merged-pages/transforming-data-with-pdi-archive/partitioning-data.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.