What is a recommended solution for refreshing a dashboard that requires data only once daily?

The recommended solution for refreshing a dashboard that requires data only once daily entails using a nightly batch job to populate the dashboard. This approach is efficient for scenarios where real-time data updates are not necessary, and it aligns well with the requirements of daily data refreshes.

By scheduling a nightly batch job, you can gather all necessary data from the source systems, perform any required transformations or aggregations, and then load this data into the dashboard in one go. This method ensures that the dashboard reflects the most current data available at the end of the day while optimizing resource usage during off-peak hours.

In contrast, options like utilizing Structured Streaming would be more suitable for scenarios where continuous, real-time data updates are essential, which does not align with the need for a daily refresh. Similarly, configuring a webhook for incremental reads could introduce unnecessary complexity and overhead for a dashboard with a daily update requirement. Finally, while using the Delta Cache may improve query performance, it does not address the refresh strategy directly, making it less relevant for the specific need of daily data updating in a dashboard context.