Next, you’ll load example product data into your DynamoDB Table. Pipelines will move this data into OpenSearch Service in later steps.
Return to the Cloud9 IDE. If you accidentally closed the IDE, you may search for the service in the AWS Management Console or use the Cloud9IDE URL found in the Outputs
section of the CloudFormation stack.
Load the sample data into your DynamoDB Table.
cd ~/environment/OpenSearchPipeline
aws dynamodb batch-write-item --request-items=file://product_en.json
Next, navigate to the DynamoDB section of the AWS Management Console and click Explore items
and then select the ProductDetails
table. This is where the product information for this exercise originates from. Review the product names to get an idea for what kind of natural language searches you might want to provide later at the end of the lab.