Enroll Course: https://www.udemy.com/course/mastering-aws-lambda-functions/
Are you a data engineer looking to leverage the power of serverless computing with AWS Lambda? This Udemy course, “Master AWS Lambda Functions for Data Engineers using Python,” offers a deep dive into building robust, end-to-end data pipelines using Python and a suite of essential AWS services. From setting up your development environment on Windows with WSL and Docker to deploying Lambda functions via zip files and custom Docker images, this course covers it all.
The course begins by guiding you through the essential setup, including creating an AWS account and configuring the AWS CLI. You’ll then dive into developing the core logic for data ingestion from a source to AWS S3 using Python’s Boto3 library, incorporating Pandas for data manipulation and the `requests` library for API interactions. A significant portion of the course is dedicated to understanding and implementing AWS Lambda functions with Python 3.9. You’ll learn how to refactor your Python applications, package them into zip files for deployment, and capture crucial bookmark and job run details in DynamoDB.
Troubleshooting is a critical skill, and the course effectively demonstrates how to monitor and debug Lambda functions using AWS CloudWatch. A standout feature is the instruction on building custom Docker images and pushing them to AWS ECR, enabling you to deploy Lambda functions using containerized applications. The course also explores triggering Lambda functions through S3 event notifications and orchestrating workflows using AWS EventBridge and AWS Step Functions.
Furthermore, you’ll gain hands-on experience in data transformation, converting data into Parquet format using Pandas and storing it back in S3. The course culminates in building an orchestrated pipeline between two Lambda functions, scheduling the initial function with EventBridge, and finally, creating an AWS Glue Catalog table on the Parquet data for querying with AWS Athena. The practical application of layers for Lambda functions is also covered, providing a complete lifecycle understanding.
**Key Takeaways:**
* Develop and deploy Python applications as Lambda Functions using both zip bundles and custom Docker images.
* Effectively monitor and troubleshoot Lambda function issues using AWS CloudWatch.
* Gain practical experience with a wide array of AWS services including Boto3, S3, DynamoDB, ECR, CloudWatch, Glue Catalog, and Athena.
* Understand how to trigger Lambda functions using EventBridge and Step Functions.
**Recommendation:**
For data engineers aiming to master serverless data processing on AWS, this course is an excellent resource. It provides a hands-on, project-based approach that solidifies your understanding of Lambda functions and their integration with the broader AWS ecosystem. The comprehensive coverage of deployment methods, monitoring, and orchestration makes it a valuable investment for anyone looking to build scalable and efficient data pipelines.
Enroll Course: https://www.udemy.com/course/mastering-aws-lambda-functions/