Fundamentals of Analytics on AWS – Part 2

Description

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