Overview 🍶:

This repository contains the resources I used when studying for AWS Certified Data Analytics Certification.

Table of Contents 🌳

White Paper

Whitepapers published by AWS for its data analytics services, including the general introduction, best practices, and anti-patterns etc,.

Hands-on Practices and Architectures

To complement the introduction of AWS data analytics services, these labs and architectures provide opportunities to explore the knowledges learned in action.

Best Practices

This section contains the best practices, collected from documentaions and blogs, for various AWS data analytics services.

Concepts Check

While learning the services myself, I found there were some concepts/tricky details that appeared while doing practice questions (mostly from WhizLab and Udemy), so I recorded them for the purpose review. This listing is not comprehensive, but you can probably use it for self-check.

Other Resources

This section contains various other resources, including the video courses, books, and exam tips.

Recommended Sequence to Study 🚆

Below is the order I would recommend for studying these materials, from general to specific and from individual services to the integration among them:

1. Udemy’s AWS Certified Data Analytics Specialty 2020
2. Hands-on Practices
3. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam
4. White Paper
5. Best Practices
6. Architecture and Blogs
7. Concepts Check
8. Practice Problems
9. Resources, such as exam tips, in "Other Resources" section

Note:

• Just a recommendation from my perspective. Feel free to use these materials in whatever order you desire!