AWS Glue Course Overview

AWS Glue Course Overview

The AWS Glue course is designed to provide a comprehensive understanding of Amazon Glue training, equipping learners with the skills to leverage this fully managed extract, transform, and load (ETL) service. Starting with an introduction to AWS Glue, the course covers the fundamentals, guiding participants from initial setup to understanding data transformation processes, and working with various data sources and targets.

In Module 2, students dive into advanced AWS Glue concepts, learning sophisticated ETL transformations, job management, and monitoring techniques. They will also become proficient in utilizing Glue Crawlers, implementing best practices, and optimizing performance. Integration with other AWS services and exploration of real-world use cases round out the curriculum, preparing learners for practical application and aws glue certification. This training is invaluable for those looking to harness the full potential of AWS Glue in their data processing workflows.

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  • Live Online Training (Duration : 16 Hours)
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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Certainly! To ensure that learners are prepared for the AWS Glue course and can fully benefit from the content, the following minimum prerequisites are recommended:

  • Basic understanding of cloud computing concepts, particularly related to Amazon Web Services (AWS).
  • Familiarity with data warehousing and data lakes concepts.
  • Experience with Extract, Transform, Load (ETL) processes and how they apply to data integration.
  • Knowledge of SQL and working with databases.
  • Basic proficiency in a programming language such as Python or Scala, as AWS Glue uses these for scripting ETL jobs.
  • An understanding of JSON and XML data formats.
  • Familiarity with AWS core services such as Amazon S3, Amazon RDS, and Amazon Redshift.
  • Ability to navigate and use the AWS Management Console.

These prerequisites are intended to ensure that students have a foundational knowledge base to build upon during the AWS Glue course. If you meet these requirements, you will be well-positioned to grasp the course material and apply the concepts in practical scenarios.

Target Audience for AWS Glue

AWS Glue course covers ETL services and data integration in the AWS cloud, tailored for data engineers and IT professionals.

  • Data Engineers
  • ETL Developers
  • Cloud Solutions Architects
  • Data Analysts
  • Database Administrators
  • IT Professionals looking to specialize in AWS data services
  • DevOps Engineers involved in data operations on AWS
  • Business Intelligence Professionals
  • Data Scientists requiring knowledge of AWS data integration tools
  • Technical Project Managers overseeing data projects on AWS
  • System Integrators working with AWS data services

Learning Objectives - What you will Learn in this AWS Glue?

Course Learning Outcomes and Concepts

In the AWS Glue course, participants will gain comprehensive knowledge of serverless data integration and learn to implement ETL processes efficiently, while also mastering advanced features and optimization techniques for real-world applications.

Learning Objectives and Outcomes

  • Understand the basics of AWS Glue and its role in serverless data integration.
  • Learn how to navigate the AWS Glue console and set up initial ETL jobs.
  • Grasp the concepts of data transformation using AWS Glue's built-in libraries and tools.
  • Acquire the skills to connect to various data sources and targets, and manage data schema.
  • Perform advanced ETL transformations and learn to customize scripts for complex data processing.
  • Manage, monitor, and secure AWS Glue jobs, ensuring efficient ETL workflows.
  • Utilize AWS Glue crawlers to automate data schema discovery and maintenance.
  • Apply best practices and optimization techniques for cost-effective and performance-efficient ETL processes.
  • Explore the integration of AWS Glue with other AWS services like Amazon S3, RDS, and Redshift for extended functionalities.
  • Analyze real-world use cases, facilitating a practical understanding of AWS Glue applications in different scenarios.