topic is an entity that represents a data domain that is published and consumed in
Data Integration Hub
. A topic defines the canonical data structure and additional data definitions such as the data retention period.
For example, a Sales topic that represents sales data. Applications from all the stores in the organization publish sales data to the Sales topic. The accounting application subscribes to the Sales topic and consumes published sales data from all stores, or, if a filter is applied, from specific stores.
Before you define publications and subscriptions for the data that is published and consumed in
Data Integration Hub
, you need to define the canonical structure that will hold the data that is published to
Data Integration Hub
in the
Data Integration Hub
publication repository. You define the canonical structure when you define the topic. You can define multiple topics that represent different source data sets.