What does the AWS Glue course cover?
AWS Glue is covered here in 8 modules: Introduction to AWS Glue: Overview of AWS Glue and its features, Designing and Implementing Data Pipelines: Designing a data pipeline using AWS Glue, Integrating Data from Various Sources: Integrating data from S3 using AWS Glue and 5 more.
How do you approach AWS Glue step by step?
The work is sequenced in 8 stages. It starts with Introduction to AWS Glue: Overview of AWS Glue and its features, moves through Designing and Implementing Data Pipelines: Designing a data pipeline using AWS Glue and Integrating Data from Various Sources: Integrating data from S3 using AWS Glue, and ends at Implementing Data Governance and Security: Implementing data security using AWS Glue.
What is in Module 1 of the AWS Glue course?
Module 1 is Introduction to AWS Glue: Overview of AWS Glue and its features. It works through Overview of AWS Glue and its features, benefits of using AWS Glue for data integration and ETL, Understanding the AWS Glue architecture and 1 more. It sets the vocabulary the remaining 7 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: Unlocking Serverless Data Integration and ETL
Course Overview
This comprehensive course is designed to help you master AWS Glue, a fully managed, serverless data integration and ETL (Extract, Transform, Load) service. With this course, you will gain hands-on experience in integrating and processing data from various sources, transforming and loading it into target systems, and analyzing data using various AWS services.Course Objectives
- Understand the fundamentals of AWS Glue and its role in data integration and ETL
- Learn how to design and implement data pipelines using AWS Glue
- Gain hands-on experience in integrating data from various sources, such as S3, DynamoDB, and external databases
- Understand how to transform and process data using AWS Glue transformations and PySpark
- Learn how to load data into target systems, such as S3, Redshift, and DynamoDB
- Understand how to analyze data using various AWS services, such as Amazon Athena and Amazon QuickSight
- Learn how to optimize and troubleshoot data pipelines
- Gain hands-on experience in implementing data governance and security using AWS Glue
- Overview of AWS Glue and its features
- Benefits of using AWS Glue for data integration and ETL
- Understanding the AWS Glue architecture
- Setting up AWS Glue and creating a data catalog
- Understanding data pipeline concepts and architecture
- Designing a data pipeline using AWS Glue
- Creating a data pipeline using AWS Glue Studio
- Configuring data pipeline options and settings
- Understanding data source options in AWS Glue
- Integrating data from S3 using AWS Glue
- Integrating data from DynamoDB using AWS Glue
- Integrating data from external databases using AWS Glue
- Understanding data transformation concepts and architecture
- Using AWS Glue transformations to process data
- Using PySpark to process data in AWS Glue
- Optimizing data processing performance
- Understanding data loading concepts and architecture
- Loading data into S3 using AWS Glue
- Loading data into Redshift using AWS Glue
- Loading data into DynamoDB using AWS Glue
- Understanding data analysis concepts and architecture
- Using Amazon Athena to analyze data
- Using Amazon QuickSight to analyze data
- Using other AWS services to analyze data
- Understanding data pipeline optimization concepts and architecture
- Optimizing data pipeline performance
- Troubleshooting common data pipeline issues
- Using AWS Glue metrics and logging to monitor data pipelines
- Understanding data governance and security concepts and architecture
- Implementing data governance using AWS Glue
- Implementing data security using AWS Glue
- Using AWS IAM to manage access to AWS Glue resources
- Interactive and Engaging: The course includes interactive lessons, quizzes, and hands-on projects to keep you engaged and motivated.
- Comprehensive: The course covers all aspects of AWS Glue, including data integration, transformation, and loading.
- Personalized: The course is designed to accommodate different learning styles and levels of experience.
- Up-to-date: The course is regularly updated to reflect the latest features and best practices in AWS Glue.
- Practical: The course includes hands-on projects and real-world examples to help you apply your knowledge in practical scenarios.
- High-quality content: The course is developed by expert instructors with extensive experience in AWS Glue and data integration.
- Certification: Participants receive a certificate upon completion, issued by The Art of Service.
- Flexible learning: The course is available online and can be accessed from anywhere, at any time.
- User-friendly: The course is designed to be easy to navigate and use, even for those with limited technical expertise.
- Mobile-accessible: The course can be accessed on mobile devices, making it easy to learn on-the-go.
- Community-driven: The course includes a community forum where you can connect with other learners and instructors.
- Actionable insights: The course provides actionable insights and practical advice that can be applied in real-world scenarios.
- Hands-on projects: The course includes hands-on projects that help you apply your knowledge in practical scenarios.
- Bite-sized lessons: The course is divided into bite-sized lessons that make it easy to learn and retain information.
- Lifetime access: The course provides lifetime access to the course materials, so you can review and refresh your knowledge at any time.
- Gamification: The course includes gamification elements that make learning fun and engaging.
- Progress tracking: The course includes progress tracking features that help you stay motivated and focused.