Real-World Scenario: A company processes 20 million IoT records per month. How would you design the Dataverse solution?

Question

Accepted Answer

Traditional Dataverse tables would not be the best choice for this volume.
    

    Recommended Architecture:

    
        Store telemetry in Elastic Tables.
        Use Azure Event Hub for ingestion.
        Process data using Azure Functions.
        Use Power BI for analytics.
        Store only summarized business data in standard Dataverse tables.
    

    Why?

    
        Improved scalability
        Reduced storage costs
        Better performance
        Enterprise-grade architecture
    

    
        This is a common architect-level interview scenario used to evaluate large-scale Dataverse design skills.

Real-World Scenario: A company processes 20 million IoT records per month. How would you design the Dataverse solution?

Answer with Explanation