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Labs

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.

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Labs

Path Info

Level
Clock icon Advanced
Duration
Clock icon 45m
Published
Clock icon Mar 13, 2020

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Table of Contents

  1. 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.

  2. Challenge

    Create a DynamoDB Table

    With the information from the previous task, create a DynamoDB table in the provided AWS account.

  3. 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>
    
  4. Challenge

    Update `load.py`

    Update load.py to execute any data transformations from the first task.

  5. Challenge

    Run `load.py`

    Run load.py, replacing <TABLE_NAME> with the name of your table:

    python3 load.py -t <TABLE_NAME>
    
  6. Challenge

    Update `queries.py`

    Edit queries.py, updating the queries dictionary with the appropriate queries to satisfy each access pattern. Be sure to use the correct table and index names.

  7. Challenge

    Confirm Queries Return Expected Data

    Run queries.py:

    python3 queries.py
    

    Verify output against the expected output in the lab information.

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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