What is the role of spoke models in the Data Hub architecture?

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Multiple Choice

What is the role of spoke models in the Data Hub architecture?

Explanation:
In a Data Hub setup, spoke models are the planning layer. They host the planning logic, calculations, and day-to-day business processes that produce forecasts, budgets, and what-if analyses. Spokes pull data from the hub—where master data, data quality, and integration with source systems are handled—and then run the computations needed for planning. The results can be used for analysis or fed back into the hub for consolidation and governance, keeping planning workloads isolated from data ingestion activities. So, the strongest role of spokes is to perform planning and calculations, rather than handling source-system connections, storing configurations, or managing user access.

In a Data Hub setup, spoke models are the planning layer. They host the planning logic, calculations, and day-to-day business processes that produce forecasts, budgets, and what-if analyses. Spokes pull data from the hub—where master data, data quality, and integration with source systems are handled—and then run the computations needed for planning. The results can be used for analysis or fed back into the hub for consolidation and governance, keeping planning workloads isolated from data ingestion activities. So, the strongest role of spokes is to perform planning and calculations, rather than handling source-system connections, storing configurations, or managing user access.

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