10. Introduction to Data Storage on Cloud Services (AWS)

Activity 10.01: Transforming a Table Schema into Document Format and Uploading It to Cloud Storage

Solution

1. Create a directory called Activity10.01 in the Chapter10 directory to store the files for this activity.
2. Open your Terminal (macOS or Linux) or Command Prompt (Windows), navigate to the Chapter10 directory, and type in jupyter notebook.
3. In the Jupyter Notebook, click the Activity10.01 directory, create a notebook file with a Python 3 kernel, and add the following code:

   import os
   import json
   import boto3
   import shutil
   import pandas as pd
   # set your bucket name here
   # 'ch10-data' is NOT your bucket. It's just an example here
   # you should replace your bucket below
   BUCKET_NAME = 'ch10-data'
   # 1. download data from S3 bucket
   s3_resource = boto3.resource('s3')
   try:
       s3_resource.Bucket(BUCKET_NAME).download_file(
         &...