Is it possible to connect jupyter notebook that is running locally to one of the buckets on AWS S3 without using SageMaker and involving no or with access and secret keys?
2 Answers
Apparently it is possible. You can find a tutorial here. However, you'll need to create an IAM role. The process is described here.
import boto3
s3_client = boto3.client('s3',aws_access_key_id="<Type your key>",aws_secret_access_key="<type your sec key>")
bucket = "<your bucket name>"
file_name = "<your file name>"
s3_clientobj = s3_client.get_object(Bucket=bucket, Key=file_name)
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