Master AWS Lambda Functions for Data Engineers using Python

Partner: Udemy
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Description: Do you want to 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, etc? Here is one course using which you will learn AWS Lambda Functions by implementing an end-to-end pipeline by using all the services mentioned.As part of this course, you will learn how to develop and deploy lambda functions using the zip files, custom docker images as well as layers. Also, you will understand how to trigger lambda functions from Eventsbridge as well as Step Functions.Set up required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services. You will take care of setting up Ubuntu using wsl, Docker Desktop, and Visual Studio Code along with Remote Development Extension Kit so that you can develop Python-based applications using AWS Services.Setup Project or Development Environment to develop applications using Python and AWS Services on Windows and Mac.Getting Started with AWS by creating an account in AWS and also configuring AWS CLI as well as Review Data Sets used for the projectDevelop Core Logic to Ingest Data from source to AWS s3 using Python boto3. The application will be built using Boto3 to interact with AWS Services, Pandas for date arithmetic, and requests to get the files from the source via REST API.Getting Started with AWS Lambda Functions using Python 3.9 Run-time EnvironmentRefactor the application, and build a zip file to deploy as AWS Lambda Function. The application logic includes capturing bookmarks as well as Job Run details in Dynamodb. You will also get an overview of Dynamodb and how to interact with Dynamodb to manage Bookmark as
Category: IT & Software > Other IT & Software > Amazon AWS
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Price: 24.99
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Source: Impact
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