I have a machine learning model deployed in azure designer studio. I need to retrain it everyday with new data through python code. I need to keep the existing csv data in the blob storage and also add some more data to the existing csv and retrain it. If I retrain the model with only the new data, the old data is lost so I need to retrain the model by appending new data to existing data. Is there any way to do it through python coding?
I have also researched about append blob but they add only in the end of the blob. In the documentation, they have mentioned we cannot update or add to an existing blob.
Any help is appreciated. Thanks a lot.