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Module 10: Hub Entities

Hub Entities​

A Data Hub enables sharing of entities—both canonical and enriched—across multiple data pods. This facilitates centralized data access and reuse across projects or teams.

Canonical entities and enriched entities can both be pushed to and fetched from the Data Hub using their respective entity management interfaces.

Step 1: Navigate to Canonical Entities and Push to Hub​

From the Data Modeling section, select a canonical entity. You will see detailed metadata including entity ID, name, source tables, and attributes.

To share this entity with other data pods:

  • Click on the gear icon beside List of Entities
  • Select Push Entity To Hub
    You can also use the options Generate Business Key, Check Data Compatibility, and trigger Data Lake or Warehouse Load.

Reference:
Push Canonical Entity to Hub

Step 2: Push Enriched Entities to the Hub​

From the Enriched Data Entity interface, once your enriched entity is defined and committed:

  • Click on the settings gear in the top right
  • Choose Push Entity To Hub

You can also use the same menu to Fetch Entity From Hub if you want to reuse an enriched entity shared from another pod.

Reference:
Push Enriched Entity to Hub

Step 3: View Entities in the Data Hub​

To manage and view all shared entities:

  • Navigate to the Data Hub module from the sidebar
  • You’ll see a list of all entities (canonical and enriched) shared to the hub, along with:
    • Entity name
    • Description
    • Type (Transaction or Reference)
    • Data pod ID where it originated

These hub-shared entities can be fetched and reused across other data pods.

Reference:
Data Hub Entity List

Summary of Actions​

ActionPerformed FromLocation
Push Canonical EntityCanonical entity detail viewData Modeling
Push Enriched EntityEnriched data entity viewData Modeling
Fetch from HubCanonical or Enriched entity viewData Modeling
View Hub EntitiesData Hub moduleLeft Navigation (Hub icon)

By using the Data Hub, you can effectively decouple data ownership from data usage and enable seamless interoperability across different use cases and domains.