Overview
This course is the second of two offerings designed to introduce learners to the current market trends in analytics. Building upon the concepts introduced in Part 1, this course introduces learners to an overview of data lakes, data warehouses, and modern data architectures on AWS. You will learn about which AWS services can be used to build a data warehouse, data lakes, and modern data architectures on AWS. You will also see common modern data architecture use cases and a reference architecture.
- Course level: Fundamental
- Duration: 1 hour 30 minutes
Activities
This course includes: lessons, videos, scenarios, and knowledge check questions.
Course objectives
In this course, you will learn to:
- Explain data lakes, benefits, and functions.
- Describe the basic data lake architecture, the AWS services used to build a data lake, and challenges with building a data lake.
- Explain AWS Lake Formation architecture, features and benefits.
- Explain data warehousing, challenges with an on-premises data warehouse, and available AWS solutions.
- Explain modern data architecture pillars and modern data architecture concepts.
- Explain data movement scenarios.
- Describe the data mesh architecture pattern, benefits, and available AWS solutions.
- Identify the available AWS services for building modern data architectures.
- Identify the components of modern data architecture.
- Describe common use cases for modern data architecture.
Intended audience
This course is intended for:
- Cloud architects
- Data engineers
- Data analysts
- Data scientists
- Developers
Prerequisites
We recommend that attendees of this course have:
- Reviewed AWS Cloud Practitioner Essentials or equivalent
- Completed Fundamentals of Analytics on AWS – Part 1
Course outline
Section 1: Introduction
- Lesson 1: How to Use This Course
- Lesson 2: Course Overview
Section 2: Architectures
- Lesson 3: Introduction to Data Lakes
- Lesson 4: Introduction to Data Warehousing
- Lesson 5: Introduction to Modern Data Architecture
- Lesson 6: AWS Services for Modern Data Architecture
Section 3: Common Use Cases and Reference Architectures
- Lesson 7: Common Use Cases
- Lesson 8: Reference Architectures
Section 4: Conclusion
- Lesson 9: Quiz
- Lesson 10: Course Summary
- Lesson 11: Appendix of Resources
- Lesson 12: Feedback
University:
Provider: AWS Skill Builder
Categories: Data Analysis Courses, Cloud Computing Courses, Data Lakes Courses, Data Engineering Courses
