There was an error when processing the data in the dataset

Hi Anonymous ,

I found a similar issue here.

You could refer to the following suggestions:

The Error “Container exited unexpectedly with code 0x0000DEAD” is due to memory issues on the capacity. It could be intermittent as it is affected by other workloads on the capacity depending on what jobs are running at the time of refresh.

To mitigate this we suggest

1. Increase dataflows’ max memory % and decrease the Datasets max memory % by same quantity. (If they have default settings then increase dataflows to 40% and decrease Datasets to 80%)
2. Increase Dataflows container size to 1500Mb. This will reduce parallelism and potentially reduce intermittent failures.

Hi Anonymous ,

Could you tell me if your problem has been solved?
If it is, kindly Accept it as the solution. More people will benefit from it.
Or you are still confused about it, please provide me with more details about your problem.

Best Regards,
Stephen Tao