Governance policies dictate who can schedule refreshes, manage datasets, and oversee the overall health of the organizational data estate. Troubleshooting Common Refresh Failures Refresh operations can fail due to various reasons, including source system downtime, credential changes, data transformation errors, or gateway connectivity issues.
Optimizing Data Refresh Performance in Power BI
The connectivity mode, typically Import or DirectQuery, dictates how data is loaded and refreshed. Supported Data Sources and Connectivity Power BI supports a vast array of data sources, ranging from cloud services like Azure SQL Database and Salesforce to on-premises SQL Server instances and Excel files.
For on-premises data sources, a configured on-premises data gateway is essential, acting as a bridge that securely facilitates data transfer between the cloud and private network. Row-level security (RLS) definitions are preserved during refreshes, ensuring that data access restrictions remain consistent.
Optimizing Data Refresh Performance in Power BI
This capability moves static reports into a dynamic environment where stakeholders base decisions on timely, accurate data. Import mode stores data in the Power BI dataset, requiring scheduled refreshes, while DirectQuery retrieves data live from the source during user interaction, eliminating the need for traditional refresh cycles but imposing performance considerations.
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