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Keep shoppingAWS Glue from Zero to Expert: ETL and Automation in Cloud
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AWS Glue from Zero to Expert: ETL and Automation in Cloud
From beginner to expert in AWS Glue ETL: Clean, transform, and automate your data. Manage crawlers, connections, and job
Created byApasoft Training
Last updated 6/2026
English
What you'll learn
- Understand what AWS Glue is and its use cases.
- Configure the initial environment in Glue Studio.
- Create and manage data catalogs.
- Design and execute ETL processes with Glue.
- Use crawlers to automatically discover patterns.
- Building and debugging jobs with PySpark in Glue.
- Apply data transformations and quality rules.
- Automate processes with triggers and workflows.
- Integrate Glue with S3, Athena, and other Amazon products
- Creating and working with Notebooks
Explore related topics
Course content
19 sections • 148 lectures • 11h 53m total length
Requirements
- Basic programming knowledge, especially in Python
- Basic knowledge of cloud environments, especially Amazon AWS
- Knowledge of command line environments
- Basic knowledge of ETL processes
- Internet connection
- Create a free Amazon AWS account
Description
This course uses artificial intelligence.
Important note: This course is the official English version of my original Spanish course. The content is entirely human, but I've used a high-quality voiceover to ensure the explanations are clear and easy to understand, as my native pronunciation isn't the best.
Do you want to master cloud data integration with AWS?
My name is Sergio, and I'll be your instructor throughout this training.
This course will guide you through the key functionalities of this AWS service, from the basics to the most advanced ETL (Extract, Transform, Load) techniques.
You'll learn to create and manage Glue jobs, use Dynamic Frames for efficient data manipulation, and work with different Glue engines and features.
We'll explore how to integrate Glue with other AWS services like S3, Athena, and Redshift to build robust and scalable data pipelines.
We'll cover topics such as using AWS Glue Studio for visual workflow development, security configuration, performance optimization, and troubleshooting common issues.
EVERYTHING WILL BE HANDS-ON. Each video is a lab where you'll learn to create and work with all the components of AWS Glue.
What you'll learn:
What AWS Glue is and how it works.
Create and execute ETL jobs step by step.
Create jobs with Glue Studio, using scripts and notebooks.
Configure and use crawlers and the Data Catalog.
Work with DataFrames and DynamicFrames in PySpark.
Use multiple transformations for your jobs.
Integrate with Amazon S3 and databases.
Monitor logs and metrics with CloudWatch.
Create triggers.
Work with notebooks.
Create workflows and pipelines.
Work with the AWS CLI.
Best practices and pipeline optimization.
And much more.
Upon completion, you will be able to design, automate, and manage complete ETL workflows with AWS Glue, applying best practices and achieving scalable processes in the cloud.
You will also be prepared to professionally design, implement, and manage cloud data integration solutions.
This course is designed for developers, data engineers, and analysts looking to master ETL tools in the AWS ecosystem.
If you have any questions, please feel free to contact me.
Sergio from Apasoft Training
Who this course is for:
- For students who want to get started in Big Data and ETL in the cloud.
- To developers who need to learn how to process data in AWS.
- To data analysts looking to automate transformations.
- Data engineers working with data lakes in S3.
- professionals who use services like Athena or Redshift.
- To BI teams that need to prepare data for reports.
- Anyone interested in integrating and cleaning data in the cloud.