Data Partitions allow users to create views over the data in their workspace so that it is presented and used meaningfully. There exist two types of data partitions:

Source Partition: The view contains data from a single source.
MDM Partition: The view contains unified data from one of many data sources.

Standard Search Module

Through the Standard Search module, users can query a data partition's data using keyword searches, filtering, and sorting.

Data Mapping

Data partitions' configurable data mappings allow users to optimize partition records' representation for querying and retrieval. Mappings are attribute-based and vary per data source, enabling flexible and powerful data mappings.

Data Segregation

Data partitions can be used to enforce segregation and ensure data is accessible only to the right people. Configuring multiple partitions over the same data for different purposes allows users to control access to data down to the attribute level.

Data Reconciliation

Reconciliation is the process of comparing and aligning data from multiple sources to create a unique representation of master data. Data partitions allow users to configure reconciliation rules to dictate how a partition record is built from many source records representing the same real-world entity.