Data Engineering on AWS - Foundations

Aperçu

In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication.

You will also learn what networking concepts should be taken into consideration for data engineers.

The course is divided into different modules. With the learning modules, you will learn new concepts and get introduced to AWS services to build your solution.

Activities

Interactive content, videos, knowledge checks, and assessments

Course objectives

In this course you will learn to:

• Describe the data engineering role and personas they work with.
• Identify how to perform data discovery to help define requirements and review considerations.
• Identify common data architectures and appropriate AWS services.
• Recognize how to orchestrate and automate data pipelines using AWS services.
• Identify AWS security and monitoring services.
• Identify common CI/CD tools used by data engineers on AWS.
• Identify IaC tools used by data engineers on AWS.
• Describe AWS Serverless Application Model (AWS SAM).
• Identify AWS cost optimization tools.
• Identify different AWS security mechanisms.

Intended audience

This course is intended for:

• Data Engineers
• Data Analysts
• Data Architects
• Business Intelligence Engineers

Recommended Skills

We recommend that attendees of this course have:

• 2-3 years of experience in data engineering
• 1-2 years of hands-on experience with AWS services
• Completed AWS Cloud Practitioner Essentials or equivalent
• Completed Fundamentals of Analytics on AWS Part 1 and Part 2

Course outline

Module 1:

Foundations - Roles and Concepts

• Lesson 1:

  Course Navigation

• Lesson 2:

  Introduction

• Lesson 3:

  Data Discovery

• Lesson 4:

  AWS Data Services and the Modern Data Architecture

• Lesson 5:

  Orchestration and Automation Options

• Lesson 6:

  Data Engineering Security and Monitoring

• Lesson 7:

  Assessment

• Lesson 8:

  Conclusion

• Lesson 9:

  Contact Us

Module 2:

Foundations - Tools and Considerations

• Lesson 1:

  Course Navigation

• Lesson 2:

  Continuous Integration and Continuous Delivery Tools

• Lesson 3:

  Infrastructure as Code Tools

• Lesson 4:

  AWS Serverless Application Model

• Lesson 5:

  Networking Considerations

• Lesson 6:

  Cost Optimization Tools

• Lesson 7:

  Authentication and Authorization Tools

• Lesson 8:

  Assessment

• Lesson 9:

  Conclusion

• Lesson 10:

  Contact Us

University:

AWS Skill Builder

Provider:

AWS

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