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Hi,

We have seen couple of scenarios with Dataiku flow where the table on which data set has been built has been truncated but still when users explore the data, it shows values. This gives a fall impression that data is available but when user do not see the data in upstream dataset then it confuses them on why data is not populating. Is there a way that latest status of dataset can be visible to users if its empty.

 

Regards,

Ravi Agrawal
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Is there any other way to avoid the false indication for the dataset sample ? i.e. mostly the data cleanup activity happens over the weekend and if samples can be rebuild on dataset status can be re-refreshed then it would be helpful and avoid the surprises at user end as they do not have access to the redshift tables directly and support team has to intervene to confirm the dataset availablity.

1 Answer

0 votes
Hi,

You can configure this: https://doc.dataiku.com/dss/latest/explore/sampling.html#refreshing-the-sample

We do not recommend it however, due to the performance impacts.
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