Learn how to load data into DynamoDB using python from AWS S3
In this video, we will explore a step-by-step guide on utilizing a Python Lambda function to seamlessly import JSON data from an S3 bucket into DynamoDB. By following along with the provided example, you will gain a comprehensive understanding of how to achieve this data transfer seamlessly.
The video will cover the following key steps:
Lambda Function Creation: We will guide you through the process of creating a Python Lambda function from scratch. This function will act as the intermediary for transferring the JSON data.
IAM Role Configuration: To grant the Lambda function access to both the S3 bucket and the DynamoDB table, an IAM role will be set up with the required permissions.
S3 Bucket Trigger: We will demonstrate how to configure the Lambda function to be triggered automatically whenever new JSON data is uploaded to the specified S3 bucket.
Python Code Walkthrough: The heart of the video will be a detailed explanation of the Python code used in the Lambda function. We will break down each section, highlighting its purpose and functionality.
Deployment: Once the Lambda function is fully configured and the code is in place, we will walk you through the process of deploying the function to AWS Lambda.
By the end of this video, you will be equipped with the knowledge and skills necessary to confidently implement a Python Lambda function that efficiently transfers JSON data from an S3 bucket to DynamoDB, making data management a seamless process within your AWS environment.
Code link - https://github.com/AnandDedha/AWS/blo...
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