Descriptions
Master AWS Lambda Functions for Data Engineers using Python, Learn AWS Lambda Functions by building an end-to-end data pipeline using Python as Programming Language and other key AWS Services such as Boto3, S3, Dynamodb, ECR, Cloudwatch, Glue Catalog, Athena by implementing an end-to-end pipeline using all the mentioned services. As part of this course, you will learn how to develop and deploy lambda functions using zip files, custom docker images as well as layers, and understand how to trigger lambda functions from Eventsbridge as well as Step Functions, including setting up required tools on Windows for ETL Data Pipelines using Python and AWS Services with Ubuntu using wsl, Docker Desktop, and Visual Studio Code along with Remote Development Extension Kit.
The course covers developing core logic to ingest data from source to AWS s3 using Python boto3 with Boto3 to interact with AWS Services, Pandas for date arithmetic, and requests to get files from source via REST API, getting started with AWS Lambda Functions using Python 3.9 Run-time Environment, refactoring applications and building zip files to deploy as AWS Lambda Function with capturing bookmarks and Job Run details in Dynamodb, creating AWS Lambda Functions using zip files and custom docker images in AWS ECR, troubleshooting issues using AWS Cloudwatch, building orchestrated pipelines using AWS s3 Event Notifications between Lambda Functions, scheduling lambda functions using AWS EventsBridge, creating AWS Glue Catalog tables and validating with SQL Queries using AWS Athena, and understanding how to use Layers for Lambda Functions with complete application code and notebooks for core logic development.
What you’ll learn
- Setup required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services
- Setup Project or Development Environment to develop applications using Python and AWS Services
- Getting Started with AWS by creating account in AWS and also configure AWS CLI as well as Review Data Sets used for the project
- Develop Core Logic to Ingest Data from source to AWS s3 using Python boto3
- Getting Started with AWS Lambda Functions using Python 3 Run-time Environment
- Refactor the application, build zip file to deploy as AWS Lambda Function
- Create AWS Lambda Function using Zip file and Validate
- Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
- Build custom docker image for the application and push to AWS ECR
- Create AWS Lambda Function using the custom docker image in AWS ECR
- Develop Applications using AWS Lambda Functions by adding Python Modules as Layers
Who this course is for
- University Students who want to learn AWS Lambda Functions with hands on and real time examples
- Aspiring Data Engineers and Data Scientists who want to master AWS Lambda Functions for Data Processing with real time examples
- Entry Level IT Professionals with prior basic level programming experience who would like to build complete projects using AWS and Python
- Experienced Application Developers who would like to explore how to build end to end applications using Python and AWS Services
- Experienced Data Engineers to build end to end data pipelines using Python and AWS Services
- Any IT Professional who is keen to get started with AWS using some of the key services such as s3, Dynamodb, Lambda, ECR, IAM, etc.
Specificatoin of Master AWS Lambda Functions for Data Engineers using Python
- Publisher : Udemy
- Teacher : Durga Viswanatha Raju Gadiraju , Pratik Kumar , Madhuri Gadiraju , Sai Varma , Phani Bhushan Bozzam
- Language : English
- Level : Intermediate
- Number of Course : 154
- Duration : 13 hours and 19 minutes
Content of Master AWS Lambda Functions for Data Engineers using Python
Requirements
- A computer science or IT Degree or 1 or 2 years of IT Experience
- Basic Linux Skills with ability to run commands using Terminal
- Programming Skills using Python is required
- Valid AWS Account to use the AWS Services to learn how to build Data Pipelines using AWS Lambda Functions
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720
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3.62 GB
