Enroll Course: https://www.udemy.com/course/mastering-aws-lambda-functions/
For data engineers looking to harness the power of serverless computing with AWS Lambda, this Udemy course, “Master AWS Lambda Functions for Data Engineers using Python,” is an absolute must-have. This course goes beyond the basics, guiding you through the creation of a complete, end-to-end data pipeline using Python and a suite of essential AWS services.
What sets this course apart is its practical, hands-on approach. You won’t just learn theory; you’ll actively build a data pipeline that leverages AWS Lambda functions for ingestion and transformation. The curriculum meticulously covers setting up your development environment on Windows (and Mac), including WSL, Docker Desktop, and VS Code with the Remote Development Extension. This ensures you’re equipped with the tools to develop robust ETL data pipelines.
The course dives deep into various deployment methods for Lambda functions, including zip files, custom Docker images pushed to AWS ECR, and the efficient use of Lambda Layers. You’ll learn how to trigger your functions using EventBridge for scheduling and Step Functions for orchestration, providing a solid understanding of event-driven architectures.
Key AWS services are integrated seamlessly throughout the learning process. You’ll master interacting with S3 for data storage, DynamoDB for bookmarking and job run details, CloudWatch for monitoring and troubleshooting, and critically, AWS Glue Catalog and Athena for data querying and analysis. The use of Boto3 is central, enabling you to interact with these services programmatically.
From ingesting data via REST APIs using Python’s `requests` library and Pandas for data manipulation, to transforming data into Parquet format, this course covers the full lifecycle. The journey culminates in orchestrating two Lambda functions using S3 event notifications, scheduling the pipeline with EventBridge, and validating the transformed data with Athena queries against a Glue Catalog table.
**Key Takeaways:**
* Develop and deploy Python applications as AWS Lambda functions using both zip files and custom Docker images.
* Gain proficiency in monitoring and troubleshooting Lambda functions via CloudWatch logs.
* Understand how to integrate Lambda with other core AWS services like S3, DynamoDB, ECR, Glue Catalog, and Athena.
* Learn to trigger Lambda functions using EventBridge and orchestrate workflows with Step Functions.
* Build and manage data pipelines, from ingestion to querying, using Python and Boto3.
**Recommendation:**
If you’re a data engineer aiming to build scalable, efficient, and serverless data pipelines on AWS, this course is an invaluable resource. It provides the practical skills and knowledge needed to confidently deploy and manage Lambda functions in real-world scenarios. The comprehensive coverage of essential AWS services and deployment strategies makes it a top recommendation for anyone serious about serverless data engineering with Python.
Enroll Course: https://www.udemy.com/course/mastering-aws-lambda-functions/