100% off
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 project
Develop 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 Environment
Refactor 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 well as Job Run details.
Create AWS Lambda Function using a Zip file, deploy using AWS Console and Validate.
Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
Build a custom docker image for the application and push it to AWS ECR
Create AWS Lambda Function using the custom docker image in AWS ECR and then validate.
Get an understanding of AWS s3 Event Notifications or s3-based triggers on Lambda Function.
Develop another Python application to transform the data and also write the data in the form of Parquet to s3. The application will be built using Pandas by converting 10,000 records at a time to Parquet.
Build orchestrated pipeline using AWS s3 Event Notifications between the two Lambda Functions.
Schedule the first lambda function using AWS EventsBridge and then validate.
Finally, create an AWS Glue Catalog table on the s3 location which has parquet files, and validate by running SQL Queries using AWS Athena.
After going through the complete life cycle of Deploying and Scheduling Lambda Function and also validating the data by using Glue Catalog and AWS Athena, you will also understand how to use Layers for Lambda Function.
Here are the key takeaways from this training:
Develop Python Applications and Deploy as Lambda Functions by using a Zip-based bundle as well as a custom docker image.
Monitor and troubleshoot the issues by going through Cloudwatch logs.
The entire application code used for the demo along with the notebook used to come up with core logic.
Ability to build solutions using multiple AWS Services such as Boto3, S3, Dynamodb, ECR, Cloudwatch, Glue Catalog, Athena, etc
Everything You Need to Know About Master AWS Lambda Functions for Data Engineers using Python
This course is a comprehensive and well-structured introduction to Master AWS Lambda Functions for Data Engineers using Python. The instructor, Durga Viswanatha Raju Gadiraju, is a leading expert in the field with a wealth of experience in IT & Software to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Other IT & Software. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Master AWS Lambda Functions for Data Engineers using Python. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
Got a question? We've got answers. If you have some other questions, please contact us.
To use coupons on our website, simply click on the "Take this course" button next to the course you're interested in. You will be redirected to the Udemy course page with the coupon applied automatically.
The coupons on our website can significantly reduce the price of Udemy courses, often making them very affordable or even free. However, the availability and terms of the coupons may vary.
Absolutely! We value your input and want to provide you with the courses you're interested in. If you have a specific course in mind that you'd like to see on our website, please don't hesitate to reach out to us. Simply send us the course title, and we'll do our best to contact the instructor and make it available to you.
The course may not be free on Udemy for two main reasons:Firstly, if the coupon for the course has expired, it won't be available for free or at a discounted price. Secondly, coupons often have a limited number of redemptions, and if the maximum limit has been reached, new users may not be able to enroll for free.
Yes, it's completely legal to enroll in courses using the coupons provided on our website. The coupons are offered in collaboration with instructors and are a legitimate way to access courses at discounted or free rates. However, it's essential to respect the terms and conditions set by Udemy and the course instructors.
The validity of coupons can vary from course to course. Some coupons may have a limited time frame of 4 days, while others could be available for an extended period. Be sure to check the coupon expiry details on our website.