In this video I'll demonstrate the key Amazon DynamoDB operations with real Python coding, using the AWS SDK for Python.
This is part of a series of videos where I'll be providing a practical view of multiple AWS services used in building a real Serverless Application, including Lambda, API Gateway, S3, CloudFront, and yes ... a little AI with Bedrock.
Chapters :
0:00 Introduction
0:50 The Trip Planner use case
1:37 DynamoDB operations summary
2:04 Creating the table
3:43 Inserting data with put_item
8:56 Retrieving an item with get_item
14:00 Retrieving multiple items with query
16:36 Flexible retrievals with scan
19:48 Creating and using an index
23:12 Updating an item with update_item
Here are some of my other videos that complement this one:
Understanding Amazon DynamoDB Basic Concepts : • Understanding Amazon DynamoDB Basic Concepts
Get Started With the AWS SDK for Python : • Get Started With the AWS SDK for Python
Demo of the complete Tucker Trip Planner application : • Tucker Trip Planner Demo
Here is the git repository for my code: https://github.com/practicalawsdev/pr...
Here are other resources I refer to in this video.
Amazon DynamoDB Developer Guide: https://docs.aws.amazon.com/amazondyn...
Jupyter.org website, with all the information to install and view a Jupyter Notebook: https://jupyter.org/
And don't forget to check out the AWS Cloud Institute ( https://aws.amazon.com/training/aws-c... ), where I regularly teach along with a great group with instructors.
Disclaimer : This is my personal channel, and the views and information here are my own.
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