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This might be a colleague taking care of your datasets while you are on vacation. SQL on-demand endpoint is provided within every Azure Synapse workspace. Checking the refresh history of your datasets regularly is one of the most important best practices you can adopt to ensure that your reports and dashboards use current data. Stay well below the maximum dataset sizes to avoid refresh issues that might occur if your datasets require more than the maximum available resources during a refresh operation. For more information, see Configure scheduled refresh later in this article. To ensure that a parameterized dataset accesses the correct data, you must configure the mashup query parameters in the dataset settings.

If you use Apache Spark for Azure Synapse in your data pipeline, for data preparation, cleansing or enrichment, you can query external Spark tables you've created in the process, directly from SQL on-demand. Unlike for an enterprise data gateway, you don't need to add data source definitions to a personal gateway. In this case, you must add an explicit data source definition for every cloud source that you want to support to your gateway. Note Power BI deactivates your refresh schedule after four consecutive failures or when the service detects an unrecoverable error that requires a configuration update, such as invalid or expired credentials. Is this page helpful?