denis256 notes and projects

I grabbed the AWS Certified Data Engineer Associate Study Guide and decided to go through it chapter by chapter. Not a quick skim-and-forget kind of thing. I actually wanted to write down what each chapter covers, what’s useful, and what you can probably skip.

This is post one. I’ll explain what the book is, who made it, and why you might want to follow along.

Book Details

What Is This Book

It’s a study guide for the AWS Certified Data Engineer Associate exam (DEA-C01). Covers everything you need to pass the certification. It also goes beyond just exam prep though – the authors actually teach data engineering concepts on AWS from scratch.

This isn’t a hands-on tutorial for a single AWS service. Not a cookbook with copy-paste solutions either. It’s a structured walkthrough of data engineering fundamentals and how they map to AWS services. Basically a map of the entire AWS data engineering landscape, organized around what the certification expects you to know.

Who Wrote It

Three authors: Sakti Mishra, Dylan Qu, and Anusha Challa. All three are Data Analytics Specialist Architects at AWS. They spent over five years working together, helping companies build petabyte-scale data platforms, shape data strategies, and implement best practices around performance, cost, security, and governance.

They wrote this book because people kept asking them how to get into data engineering. Their answer was always the same: use the DEA-C01 certification as a starting point. Not because the cert itself is magic, but because its curriculum gives you a structured framework for learning data engineering on AWS. So they wrote the guide they wished existed.

Why This Series

I read a lot of technical books. Most of them I forget within a month. So I started doing chapter-by-chapter reviews. It forces me to actually understand each section before moving on.

For you, this means you get a condensed version of each chapter. The key concepts, the important services, and my take on what matters and what’s just filler. If you’re preparing for the DEA-C01 exam, this series can be your companion. If you just want to understand AWS data engineering better, it works for that too.

I’ll be direct about what’s good and what’s not. Some chapters are packed with useful stuff. Others repeat things you already know. I’ll tell you which is which.

How the Book Is Organized

The book has 10 chapters split into four parts.

Part 1: Foundations (Chapters 1-3)

• Chapter 1: Certification Essentials - What the exam looks like, how to register, study plan, the data engineer role
• Chapter 2: Prerequisite Knowledge for Aspiring Data Engineers - Databases, data lakes, distributed processing with Spark and Flink, AWS Cloud basics
• Chapter 3: Overview of AWS Analytics and Auxiliary Services - The full catalog of AWS services you need to know

Part 2: Core Technical Domains (Chapters 4-7)

This is the meat of the book. It maps directly to the four exam domains.

• Chapter 4: Data Ingestion and Transformation - Building pipelines, moving data, transforming it
• Chapter 5: Data Store Management - Picking the right data store for each use case
• Chapter 6: Data Operations and Support - Running and maintaining data pipelines in production
• Chapter 7: Data Security and Governance - Securing data, access controls, compliance

Part 3: Practice (Chapters 8-9)

• Chapter 8: Implementing Batch and Streaming Pipelines - Hands-on implementation guide for both batch and real-time pipelines
• Chapter 9: Practice Exam - Over 40 certification-style questions with detailed explanations

Part 4: Looking Ahead (Chapter 10)

• Chapter 10: What’s New in AWS for Data Engineers - Latest services and features that may show up in future exam versions

What to Expect from This Series

Each post covers one chapter. I’ll summarize the key points, highlight what matters for the exam, and throw in my own perspective from working with AWS in production.

If something is confusing in the book, I’ll try to explain it more simply. If something is obvious, I’ll say so and move on.

Next: Certification Essentials - What You Need to Know