After fetching the data from S3, the next step in the Lambda function is to connect to the RDS MS SQL database and insert the data. You will need the database connection string, which includes the RDS instance endpoint, database name, username, and password.
Example snippet to insert data into RDS MS SQL:
Automate the Lambda Execution:
You can trigger the Lambda function on a schedule using philippines whatsapp number data Amazon CloudWatch Events or in response to S3 events (such as new file uploads).
Security and Best Practices
IAM Roles: Ensure your AWS Lambda function has an IAM role with the necessary permissions to access S3 and execute statements against your RDS MS SQL database.
Secure Your Data: Use encryption in transit (SSL) and at rest for both your S3 data and RDS instance.
Monitor and Log: Utilize AWS CloudWatch for monitoring and logging the execution of your Lambda functions and the health of your RDS instance.
This guide outlines a high-level approach to writing data to an AWS Data Lake and retrieving it into an RDS MS SQL database. Depending on your specific requirements, you may need to adjust the tools and services used.