Process CSV Files with AWS Lambda and S3 | Real-Time Data Transformation Tutorial | AWS Cloud скачать в хорошем качестве

Process CSV Files with AWS Lambda and S3 | Real-Time Data Transformation Tutorial | AWS Cloud

Process CSV Files with AWS Lambda and S3 | Real-Time Data Transformation Tutorial | AWS Cloud Description: Learn how to build a serverless application using AWS Lambda, S3, and Python to transform CSV files. This tutorial demonstrates how to: Trigger a Lambda function with an S3 event through SQS. Process and aggregate data from a CSV file uploaded to S3. Save the transformed data to a specific subfolder (output/) in the same S3 bucket (eventdriven-st). What you will learn: Understanding S3 event triggers with Lambda. Writing Python code to read, process, and transform CSV files. Using boto3 to interact with AWS services like S3. Handling edge cases, debugging errors, and ensuring seamless data processing. Make sure your Lambda function has the correct IAM permissions and is deployed in the same region as your S3 bucket. By the end of this video, you’ll have a complete serverless workflow to automate your CSV data processing needs! Resources: Full Python Code: https://github.com/ShoaibTahir1/Serve... WS Documentation: https://docs.aws.amazon.com/lambda/la... Tags: AWS Lambda, S3 Bucket, Serverless, Python, SQS, CSV Processing, Cloud Automation, Data Transformation, AWS Tutorial, Real-Time Data Processing