Imagine we have a large database in excel or CSV format, and we are looking to bring it alive by loading it into DynamoDB. This article presents a streamlined approach to this problem by leveraging the AWS Lambda services.

The rest of the article explains these steps in detail:

  1. Create a bucket and upload your data

2. Create an IAM role with required permissions

3. Configure a Lambda function.

4. Add code into your Lambda function

Upload your data into S3

You begin by first pushing your CSV data into an S3 bucket. You can do this either programmatically or via your AWS account console. For security purposes, you may keep all the public access to your bucket blocked. The Lambda function will access your bucket contents programmatically with the appropriate IAM policy attached to it. We will cover this in the following sections.

#data-ingestion #s3 #lambda #dynamodb #aws

Bulk data ingestion from S3 into DynamoDB via AWS Lambda
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