[x] 5.1) Get comfortable with S3 UI. Go from the AWS console.
[x] 5.2) Create a bucket there. The name should be mds-s3-xxx. Replace xxx with your "IAM user account".
[x] 5.3) All other options leave as it is. (Make sure AWS region is Canada).
[x] 5.4) Create your first folder called "output".
[x] 5.5) Move the "observed_daily_rainfall_SYD.csv" file from the Milestone1 data folder to your s3 bucket from your local computer. (it's a tiny file, so maybe you can easily use UI to upload).
[x] 5.6) Moving the parquet file we downloaded in step 4 to S3 using the cli what we installed in step 3.7. Refer this document and figure out yourself!
Hint: We are interested in the cp command. local is the directory path on our server.
Please attach this screen shots from your group for grading
Make sure it has 3 objects.
Description:
rubric={correctness:20}
[x] 5.1) Get comfortable with S3 UI. Go from the AWS console.
[x] 5.2) Create a bucket there. The name should be mds-s3-xxx. Replace xxx with your "IAM user account".
[x] 5.3) All other options leave as it is. (Make sure AWS region is Canada).
[x] 5.4) Create your first folder called "output".
[x] 5.5) Move the "observed_daily_rainfall_SYD.csv" file from the Milestone1 data folder to your s3 bucket from your local computer. (it's a tiny file, so maybe you can easily use UI to upload).
[x] 5.6) Moving the parquet file we downloaded in step 4 to S3 using the cli what we installed in step 3.7. Refer this document and figure out yourself!
Hint: We are interested in the cp command. local is the directory path on our server.
Please attach this screen shots from your group for grading Make sure it has 3 objects.
https://github.ubc.ca/MDS-2020-21/DSCI_525_web-cloud-comp_students/blob/master/images/4_result.png