What does the Amazon Redshift Mastery course cover?
Amazon Redshift Mastery is covered here in 10 modules: Introduction to Amazon Redshift: Use cases and success stories, Setting Up and Configuring Amazon Redshift: Configuring security and access controls, Data Modeling and Schema Design: Best practices for, Designing a star schema and fact tables and 7 more.
How do you approach Amazon Redshift Mastery step by step?
The work is sequenced in 10 stages. It starts with Introduction to Amazon Redshift: Use cases and success stories, moves through Setting Up and Configuring Amazon Redshift: Configuring security and access controls and Data Modeling and Schema Design: Best practices for, Designing a star schema and fact tables, and ends at Final Project and Assessment: Working on a, Preparing for the certification.
What is in Module 1 of the Amazon Redshift Mastery course?
Module 1 is Introduction to Amazon Redshift: Use cases and success stories. It works through Overview of Amazon Redshift and its benefits, history and evolution of data warehousing, Key features and architecture of Amazon Redshift and 1 more. It sets the vocabulary the remaining 9 modules build on.
How is the Amazon Redshift Mastery course delivered?
The Amazon Redshift Mastery 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 Amazon Redshift Mastery course cost?
The Amazon Redshift Mastery 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: Amazon Redshift Toolkit, Data Warehousing Toolkit, Data Warehousing Consulting Toolkit, Data Warehousing in ELK Stack.
More answers: what you get with every course, refund policy, all help answers.
Amazon Redshift Mastery: Unlocking Data Warehousing and Analytics
Certificate Upon Completion
Participants receive a certificate upon completion issued by The Art of Service.Course Overview
This comprehensive course is designed to help you master Amazon Redshift, a fully managed data warehouse service in the cloud. With interactive and engaging lessons, you'll learn how to unlock the full potential of data warehousing and analytics.Course Features
- Interactive and engaging lessons
- Comprehensive and personalized learning experience
- Up-to-date and practical knowledge
- Real-world applications and case studies
- High-quality content and expert instructors
- Certificate upon completion
- Flexible learning and user-friendly interface
- Mobile-accessible and community-driven
- Actionable insights and hands-on projects
- Bite-sized lessons and lifetime access
- Gamification and progress tracking
Course Outline
Module 1. Introduction to Amazon Redshift: Use cases and success stories
- Overview of Amazon Redshift and its benefits
- History and evolution of data warehousing
- Key features and architecture of Amazon Redshift
- Use cases and success stories
Module 2. Setting Up and Configuring Amazon Redshift: Configuring security and access controls
- Creating and configuring an Amazon Redshift cluster
- Understanding node types and cluster architecture
- Configuring security and access controls
- Monitoring and maintaining cluster health
Module 3. Data Modeling and Schema Design: Best practices for, Designing a star schema and fact tables
- Principles of data modeling and schema design
- Designing a star schema and fact tables
- Understanding data types and compression
- Best practices for data modeling and schema design
Module 4. Loading and Unloading Data: Using COPY and UNLOAD commands
- Understanding data loading and unloading options
- Using COPY and UNLOAD commands
- Working with Amazon S3 and Amazon DynamoDB
- Best practices for data loading and unloading
Module 5. Querying and Analyzing Data: Best practices for, Working with data types and functions
- Understanding SQL and query optimization
- Using Amazon Redshift query editor and tools
- Working with data types and functions
- Best practices for querying and analyzing data
Module 6. Data Warehousing and ETL: Best practices for, Designing and implementing ETL workflows
- Understanding data warehousing concepts and ETL
- Designing and implementing ETL workflows
- Working with Amazon Glue and AWS Lake Formation
- Best practices for data warehousing and ETL
Module 7. Data Governance and Security: Best practices for, Working with Amazon IAM and Amazon Cognito
- Understanding data governance and security concepts
- Implementing data encryption and access controls
- Working with Amazon IAM and Amazon Cognito
- Best practices for data governance and security
Module 8. Performance Tuning and Optimization: Best practices for, Optimizing queries and data storage
- Understanding performance tuning and optimization concepts
- Monitoring and analyzing cluster performance
- Optimizing queries and data storage
- Best practices for performance tuning and optimization
Module 9. Advanced Topics and Use Cases: Best practices for
- Understanding advanced topics and use cases
- Working with Amazon Redshift Spectrum and Amazon Athena
- Using Amazon Redshift with other AWS services
- Best practices for advanced topics and use cases
Module 10. Final Project and Assessment: Working on a, Preparing for the certification exam
- Working on a final project and assessment
- Applying knowledge and skills learned throughout the course
- Receiving feedback and guidance from instructors
- Preparing for the certification exam