You are designing a Power BI report that must show near-real-time inventory levels from an Azure SQL Database that contains over 150 million rows. Business users require the visuals to reflect changes in the source within one minute, and the data engineering team forbids duplicating the raw data in the Power BI service. Only simple aggregations are needed in the report. Which data connectivity mode should you configure for the fact tables?
Use Import mode with incremental refresh policies.
Create a live connection to an Analysis Services tabular model.
DirectQuery leaves the data in the Azure SQL Database and stores only metadata in the Power BI semantic model, so no copy of the detailed rows is persisted in the service. Because queries are sent to the source each time a visual renders, the report can surface changes almost immediately-well inside the one-minute requirement-without waiting for scheduled or incremental refresh cycles. Import modes (with or without incremental refresh) would cache the data inside Power BI and rely on refresh jobs that cannot guarantee sub-minute latency. A live connection to Analysis Services is irrelevant here because the model resides directly in Azure SQL, and building an intermediate Analysis Services layer would still require data movement or a separate modeling environment. Therefore, DirectQuery best satisfies both the real-time visibility and the data-duplication constraint.
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