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AWS Glue : A Comprehensive Guide for Beginners
Highest Rated
Rating: 4.5 out of 5(456 ratings)
3,372 students

AWS Glue : A Comprehensive Guide for Beginners

Simplifying Data Discovery, Preparation and Loading with AWS Glue
Last updated 5/2026
English

What you'll learn

  • Data Catalog and Preparation - Tables, Crawlers, Classifiers, Partitions, Column Statistics
  • Supported Data Stores, Glue Connections
  • Building ETL Jobs - Visual Editor
  • Building ETL Jobs - Script Editor
  • Build ETL Job - Notebooks
  • Build ETL Job - Python Shell
  • Build ETL Job - Interactive Sessions
  • Building ETL Jobs with Streaming Data
  • Jobs Configuration
  • Monitoring and Troubleshooting Jobs
  • Best Practices

Course content

17 sections108 lectures6h 17m total length
  • Welcome Note2:32
  • AWS Glue - 1014:08
  • [Optional] What is ETL?0:10
  • Course Overview2:15

Requirements

  • Basic Awareness on AWS
  • Basic Awareness on Apache Spark
  • Programming experience in Python
  • Basic Awareness on Jupyter Notebooks
  • Basic Awareness on Ray
  • Basic Awareness on Pandas

Description

Welcome to the AWS Glue Course: Simplifying ETL and Data Preparation

Unlock the power of AWS Glue and transform the way you handle data integration and preparation. Whether you're a data engineer, data scientist, developer, or data analyst, this comprehensive course is designed to equip you with the knowledge and skills to efficiently use AWS Glue for your data processing needs.


Course Overview

AWS Glue is a fully managed ETL (Extract, Transform, Load) service that makes it easy to prepare and load your data for analytics. In this course, we'll explore AWS Glue from the ground up, starting with the basics and gradually moving on to more advanced topics and practical applications. Here's what you can expect:


  1. Introduction

  2. AWS Glue Basics - Core Components, How it Works?

  3. Getting Started

  4. Data Discovery

  5. Building Jobs with Visual ETL

  6. Building Jobs with Script Editor

  7. Building Jobs with Interactive Sessions

  8. Building Jobs with Python Shell

  9. Building Jobs using Ray Framework

  10. Glue Streaming - Building Streaming Jobs

  11. Jobs Configuration

  12. Monitoring

  13. Tools

  14. Advanced Concepts

  15. Conclusion

Who Should Take This Course?

This course is ideal for anyone who wants to leverage AWS Glue for data integration and preparation tasks. No prior experience with AWS Glue is required, but a basic understanding of AWS services and data processing concepts will be helpful.

What You Will Learn?

By the end of this course, you will be able to:

  • Understand the core functionalities and benefits of AWS Glue.

  • Efficiently catalog and manage your data using AWS Glue Crawlers and the Data Catalog.

  • Create and manage ETL jobs to transform and move your data.

  • Utilize advanced features for more sophisticated data preparation tasks.

  • Integrate AWS Glue with other AWS services to build comprehensive data solutions.

  • Apply best practices to optimize performance, manage costs, and ensure data security.


Enroll Now

Hello, I'm Lal Verma, your instructor for this course. With extensive experience in data engineering and cloud computing, I'm excited to guide you through the world of AWS Glue. Together, we'll unlock the full potential of AWS Glue and transform the way you handle data integration and preparation.

Join us in this journey to master AWS Glue and revolutionize your data workflows. Enroll now and start transforming your data integration and preparation processes with AWS Glue!

Who this course is for:

  • Data Engineers, Data Scientists or Data Analysts looking forward to understand AWS Glue