- Lab
-
Libraries: If you want this lab, consider one of these libraries.
- Cloud
- Data

Managing Data Relationships in DynamoDB
In this lab, we will create a data model in DynamoDB to manage one-to-one, one-to-many, many-to-many, and hierarchical data relationships.

Lab Info
Table of Contents
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Challenge
Analyze Provided Data
Use
target_abridged.csv
to plan your data model to satisfy the provided access patterns by choosing partition and sort keys for your DynamoDB table, any data transformations, and any secondary indexes that are needed. -
Challenge
Create a DynamoDB Table
With the information from the previous task, create a DynamoDB table in the provided AWS account.
-
Challenge
Log in to Provided EC2 Instance
Log in to the provided EC2 instance with the credentials found in the lab interface:
ssh cloud_user@<PUBLIC_IP_ADDRESS>
-
Challenge
Update `load.py`
Update
load.py
to execute any data transformations from the first task. -
Challenge
Run `load.py`
Run
load.py
, replacing<TABLE_NAME>
with the name of your table:python3 load.py -t <TABLE_NAME>
-
Challenge
Update `queries.py`
Edit
queries.py
, updating thequeries
dictionary with the appropriate queries to satisfy each access pattern. Be sure to use the correct table and index names. -
Challenge
Confirm Queries Return Expected Data
Run
queries.py
:python3 queries.py
Verify output against the expected output in the lab information.
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