AWS GLUE

825 Ratings

Highly recognized as the best training institute for AWS GLUE course

EDUBRIGHTS Institute, rated to be the best institute in online , provides AWS GLUE Training with skills and placement support.

Take Your Career to the Next Level with AWS GLUE Training ! Learn data governance with industry experts' expert-led training. Get practical skills that will lead to promising career opportunities.

Learn from a growing community of successful learners
Trusted by top hiring companies across industries
Live, interactive sessions led by experienced professionals
Get practical experience in labs and real-world initiatives.
Earn a recognized certification in a short time
Get one-on-one career guidance throughout your journey
Receive support for resume building and interview preparation

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₹16000

₹20000

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Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1.What exactly AWS GLUE training cover?

AWS Glue training teaches you to create, manage, and optimize serverless ETL (Extract, Transform, Load) pipelines, including configuring the Glue Data Catalog, building workflows with Glue Studio, and integrating with AWS data services for analytics and machine learning

2. What are the main objectives of the AWS GLUE course for your development skills?

Learn to automate data preparation, transformation, and integration in AWS cloud.
Gain skills to design efficient, scalable ETL solutions and streamline data workflows for analytics and reporting

3. Will I learn enterprise-grade ETL architecture and serverless data processing concepts?

Yes. The course covers serverless ETL pipelines, data transformation frameworks, metadata management, schema discovery, workflow orchestration, and scalable cloud-based data integration architectures.

4. How does this course help professionals advance in data engineering careers?

The training develops expertise in cloud data engineering, ETL automation, big data integration, analytics pipeline management, and enterprise data transformation strategies.

5. Can I learn automated data pipeline development and orchestration?

Yes. The course includes ETL job automation, workflow scheduling, event-driven processing, data synchronization, monitoring, and enterprise pipeline optimization techniques.

Popular Techniques Covered in This Course

1.ETL concepts and data transformation

2.AWS Glue Data Catalog and Crawlers

3.Job scripting (Python/Scala)

4.Scheduling and job orchestration

5.Data cleaning and quality

6.Glue Studio visual interface

7.Security and IAM roles

8.Integrations with AWS analytics services

9.Logging and monitoring

10.Automation with CLI/CloudFormation

Get Hands-on Knowledge about Real-Time Projects

Project 1

1.Automated S3-to-Redshift ETL Pipeline

Design a Glue workflow to extract, clean, and load data from S3 into Amazon Redshift on a schedule.

Project 2

2.Data Quality Automation for Analytics

Implement a Glue DataBrew project to profile, clean, and standardize large datasets before analytics.

Project 3

3.Enterprise Data Lake ETL Automation Platform

Design and implement automated ETL pipelines using AWS Glue to process structured and unstructured enterprise data into a centralized cloud data lake.

Project 4

4. Real-Time Retail Analytics Integration Framework

Develop scalable AWS Glue workflows to integrate retail sales, inventory, and customer datasets for business intelligence and analytics reporting.

Project 5

5. Multi-Source Enterprise Data Integration Pipeline

Create an enterprise-grade serverless data integration platform connecting relational databases, cloud storage, APIs, and analytics systems using AWS Glue.

Key Features

Edubrights offers AWS GLUE Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: AWS Glue Overview

Introduction to serverless data integration
Key features and core components

Module 2: Data Catalog and Crawlers

Creating and managing Glue Data Catalog
Using Crawlers to automate metadata discovery

Module 3: Building ETL Workflows Designing ETL jobs with Glue Studio Job scripting with Python or Scala Configuring triggers and scheduling

Module 4: Data Transformation and Quality

Data cleaning, deduplication, and preparation
Implementing Glue Data Quality and DataBrew

Module 5: Security and Permissions

Working with IAM, encryption, and access control
Ensuring data privacy in ETL pipelines

Module 6: Monitoring and Troubleshooting

Using CloudWatch for monitoring Glue jobs
Debugging errors and optimizing performance

Module 7: Integrations and Automation

Linking Glue with S3, Redshift, Athena, and other AWS services
Automating deployments using CLI and CloudFormation

Module 8: Advanced Use Cases

Streaming data transformation
Handling real-time and batch workloads

Module 9: Capstone Project

End-to-end automated data pipeline using AWS Glue

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain knowledge from experts with practical AWS GLUE project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.

Succeed Our Resourceful Certification

Our institution offers an AWS Glue certification that demonstrates your expertise in building secure, scalable, and automated data integration solutions. The program includes hands-on labs and real-world projects, preparing you for impactful roles in data engineering and cloud analytics.

Course FAQs

Q1: What is AWS Glue?

AWS Glue is a fully managed, serverless ETL service that enables you to discover, prepare, and transform data for analytics and machine learning

Q2: What are the core components of AWS Glue?

Data Catalog, Crawlers, Jobs, Triggers, and Glue Studio

Q3: Which languages are supported for ETL scripting in Glue?

Python and Scala.

Q4: Does AWS Glue support a graphical interface?

Yes, AWS Glue Studio provides visual job authoring and monitoring.

Q5: Can I schedule ETL jobs in Glue?

Yes, jobs can be run on-demand, by schedule, or triggered by events.

Q6: What data sources does AWS Glue connect to?

S3, Redshift, RDS, DynamoDB, on-premises databases, and more.

Q7: Does Glue support data quality features?

Yes, with Glue Data Quality and DataBrew for rule-based curation.

Q8: How are Glue jobs monitored?

Using AWS CloudWatch metrics, logs, and dashboards.

Q9: Is AWS Glue suitable for big data and streaming?

Absolutely, it can scale for big data workloads and process streaming data.

Q10: How does Glue handle security?

Through IAM roles, encryption, VPC integration, and fine-grained access control.

Q11. Does AWS Glue support big data and analytics platforms?

Yes. AWS Glue supports large-scale analytics environments, cloud data lakes, machine learning pipelines, business intelligence systems, and enterprise reporting frameworks.

Q12. Will I learn workflow orchestration and automation?

Yes. The training includes workflow scheduling, trigger configuration, dependency management, event-driven automation, and enterprise pipeline orchestration techniques.

Q13. Can AWS Glue integrate with external databases and data warehouses?

Yes. AWS Glue supports integration with relational databases, cloud warehouses, on-premises systems, and third-party enterprise data platforms.

Q14. How important is ETL automation in modern enterprise environments?

ETL automation is critical because organizations require fast, accurate, scalable, and reliable data processing to support analytics, reporting, and decision-making initiatives.

Q15. Is AWS Glue expertise valuable for data engineering careers?

Yes. Cloud-based data integration and serverless ETL expertise are highly valuable as enterprises continue expanding cloud analytics and big data operations.