# Partitioning[¶](https://knowledge.dataiku.com/latest/courses/advanced-partitioning/index.html#partitioning "Permalink to this headline")

Dataiku enables users to split, or partition, datasets along meaningful dimensions. These partitions, or subsets of the original dataset, can then be computed independently. Learn more about this technique in the following concept articles and tutorials. You can also find more in the product documentation.

Tip

To validate your knowledge of this area, register for the Advanced Partitioning course, an optional part of the Advanced Designer learning path, on the Dataiku Academy.

## Concepts[¶](https://knowledge.dataiku.com/latest/courses/advanced-partitioning/index.html#concepts "Permalink to this headline")

* Concept: Partitioning

* How Partitioning Adds Value

* Partitioned Datasets

* Running Jobs with Partitioned Datasets

* Redispatching and Collecting Partitions

* Partitioning in a Scenario

* Creating a Partitioned Output by Specifying a Pattern

## Tutorials[¶](https://knowledge.dataiku.com/latest/courses/advanced-partitioning/index.html#tutorials "Permalink to this headline")

* Hands-On Tutorial: Advanced Partitioning: File-Based Using Partition Redispatch

* Hands-On Tutorial: Column-Based Partitioning

* Hands-On Tutorial: Advanced Partitioning: Scenarios

* Hands-On Tutorial: Repartition a Non-partitioned Dataset
