I've just started to experiment with AWS SageMaker and would like to load data from an S3 bucket into a pandas dataframe in my SageMaker python jupyter notebook for analysis.
I could use boto to grab the data from S3, but I'm wondering whether there is a more elegant method as part of the SageMaker framework to do this in my python code?
Thanks in advance for any advice.
Do make sure the Amazon SageMaker role has policy attached to it to have access to S3. It can be done in IAM.
Load S3 Data into AWS SageMaker Notebook