I have a dataset with approximately 100 million rows and almost 10 GB of data stored in the Tableau Cloud. I encounter issues when performing a full refresh, as it takes more than two hours and often results in errors.
I am considering using an incremental refresh; however, I face challenges due to event latency issues with Firebase/BigQuery. Firebase updates my data for the last three days, whereas Tableau's incremental refresh only appends the latest day's data. This leads to missing updates if there are changes in the data from the days before the last one.
One workaround would be to configure the incremental refresh to add data from three days ago, ensuring that the Firebase latency is accounted for. However, this means I won't be seeing the most recent data as quickly as I'd like.
Is there a way to append incremental refresh data from before the last three days, while performing a full refresh only for the last three days' worth of data?