What does the AWS Glue course cover?
AWS Glue is covered here in 9 modules: Introduction to AWS Glue: Setting up an AWS Glue environment, Data Sources and Targets: Understanding data formats and schema, Data Transformation and Processing: Creating and managing data pipelines and 6 more. The outline lists 36 specific topics, opening with Overview of AWS Glue and its features and closing with preparing for the certification exam.
How do you approach AWS Glue step by step?
The work is sequenced in 9 stages. It starts with Introduction to AWS Glue: Setting up an AWS Glue environment, moves through Data Sources and Targets: Understanding data formats and schema and Data Transformation and Processing: Creating and managing data pipelines, and ends at Final Project and Assessment: Preparing for the certification exam.
What is in Module 1 of the AWS Glue course?
Module 1 is Introduction to AWS Glue: Setting up an AWS Glue environment. It works through Overview of AWS Glue and its features, benefits of using AWS Glue for data integration and ETL, Setting up an AWS Glue environment and 1 more. It sets the vocabulary the remaining 8 modules build on.
How is the AWS Glue course delivered?
The AWS Glue course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the AWS Glue course cost?
The AWS Glue course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: AWS Glue for Data Integration and ETL Pipelines, AWS Glue for Data Integration and ETL Processes, AWS Glue Toolkit, ETL Integration in Orientdb Dataset.
More answers: what you get with every course, refund policy, all help answers.
Mastering AWS Glue: A Step-by-Step Guide to Data Integration and ETL
This comprehensive course is designed to help you master the skills needed to integrate and process data using AWS Glue. Upon completion, participants will receive a certificate issued by The Art of Service.Course Overview
This course is interactive, engaging, comprehensive, personalized, up-to-date, practical, and features real-world applications. Our expert instructors will guide you through the course material, and you will have access to high-quality content, hands-on projects, and bite-sized lessons.Course Features
- Interactive and engaging learning experience
- Comprehensive and personalized course material
- Up-to-date and practical information
- Real-world applications and case studies
- Expert instructors with extensive experience
- Certificate issued by The Art of Service upon completion
- Flexible learning schedule and lifetime access
- User-friendly and mobile-accessible platform
- Community-driven discussion forum
- Actionable insights and hands-on projects
- Bite-sized lessons and progress tracking
- Gamification and rewards for achieving milestones
Course Outline
Module 1. Introduction to AWS Glue: Setting up an AWS Glue environment
- Overview of AWS Glue and its features
- Benefits of using AWS Glue for data integration and ETL
- Setting up an AWS Glue environment
- Understanding the AWS Glue console and interface
Module 2. Data Sources and Targets: Understanding data formats and schema
- Connecting to data sources and targets
- Understanding data formats and schema
- Working with data catalogs and metadata
- Configuring data source and target options
Module 3. Data Transformation and Processing: Creating and managing data pipelines
- Understanding data transformation and processing concepts
- Using AWS Glue transforms and data types
- Creating and managing data pipelines
- Configuring data processing options and parameters
Module 4. Data Integration and ETL: Best practices for, Creating and managing ETL jobs and tasks
- Designing and implementing data integration workflows
- Creating and managing ETL jobs and tasks
- Using AWS Glue to integrate with other AWS services
- Best practices for data integration and ETL
Module 5. Data Quality and Governance: Creating and managing data validation rules
- Understanding data quality and governance concepts
- Using AWS Glue to monitor and manage data quality
- Creating and managing data validation rules
- Configuring data governance options and policies
Module 6. Security and Compliance: Using encryption and data masking, Understanding concepts in AWS Glue
- Understanding security and compliance concepts in AWS Glue
- Configuring security options and access controls
- Using encryption and data masking
- Compliance with regulatory requirements and standards
Module 7. Performance Optimization and Troubleshooting: Using AWS Glue metrics and logging
- Understanding performance optimization concepts in AWS Glue
- Configuring performance options and parameters
- Troubleshooting common issues and errors
- Using AWS Glue metrics and logging
Module 8. Advanced Topics and Best Practices: Case studies and real-world examples
- Using AWS Glue with other AWS services and tools
- Advanced data processing and transformation techniques
- Best practices for data integration and ETL
- Case studies and real-world examples
Module 9. Final Project and Assessment: Preparing for the certification exam
- Completing a final project and assessment
- Demonstrating mastery of AWS Glue skills and concepts
- Receiving feedback and guidance from instructors
- Preparing for the certification exam