Import Clients' Data via CSV

Objective: To automate the process of importing clients' data into the system. A CSV file containing client information is uploaded to an S3 bucket, which triggers a Lambda function to parse and store the data in an AWS DynamoDB table.

Workflow:

1. CSV File Upload to S3:

• User Action: A CSV file containing clients' data (e.g., name, email, company, contact details) is uploaded to a designated S3 bucket.
• S3 Configuration: The bucket is configured with an event trigger to invoke a Lambda function when a new file is uploaded.

2. Lambda Function - Parse and Process:

• Invocation: The Lambda function is triggered automatically upon file upload.
• CSV Parsing: The function reads the CSV file from the S3 bucket and parses its content.
• Data Validation: Each record is validated against predefined rules (e.g., valid email format, required fields like company name).
• Error Handling: If errors are detected, they are logged for review. Invalid records are not inserted into the database and are reported to the designated user.

3. Save Data to AWS DynamoDB:

• Database Connection: The Lambda function connects to the DynamoDB table using secure credentials.
• Data Storage: Valid records are inserted into the table in DynamoDB.
• Batch Write Operations: DynamoDB's batch write mechanism is used for efficient data storage.