Master Data Engineering on AWS. Pass the DEA-C01 Exam with Confidence.

This comprehensive study guide equips you with the practical skills and exam-focused knowledge needed to design ingestion pipelines, process large datasets at scale, orchestrate multi-service workflows, secure data assets, and manage the full lifecycle of analytical data on AWS.

A dedicated GitHub repository is included, providing hands-on lab guidance, scripts, and datasets referenced in the recommended YouTube tutorials for this book.

You'll develop both the theoretical understanding and hands-on competence expected of a professional AWS Data Engineer.

What You Will Learn
Build end-to-end data engineering expertise across:

• Ingestion Pipelines: S3 batch ingestion, Kinesis Data Streams, MSK, Firehose, RDS & DynamoDB extraction, API ingestion, replayability, and idempotency.

• Distributed Data Processing: Spark on EMR, Glue ETL, Athena transformations, tuning, debugging, format conversion, and cost optimization.

• Pipeline Orchestration: Step Functions, EventBridge, MWAA, Lambda automation, dependency management, retries, logging, and failure handling.

• Data Storage & Modeling: S3 architecture, Redshift design patterns, DynamoDB modeling, partitioning, schema evolution, compression, and cataloging.

• Security & Governance: IAM, Lake Formation, encryption, masking, access controls, CloudTrail, Macie, Config, and PII protection.

• Analytics: Athena SQL, QuickSight dashboards, DataBrew cleansing flows, notebook-driven analysis, and BI-ready data creation.

• Data Quality & Operations: Profiling, validation rules, anomaly detection, CloudWatch monitoring, Glue/EMR debugging, and operational observability.

• Automation & CI/CD: AWS CDK, IaC templates, SDK-based workflows, serverless automation, Glue/EMR orchestration, and deployment pipelines.

? Hands-On Tutorials
This guide pairs with hands-on tutorials available through the KnoDAX YouTube channel:

AWS Certified Data Engineer - Associate Playlist
https://youtube.com/playlist?list=PLxLENG-zbPwHaH21zuVcfs2SztzdQdivi

Who This Book Is For

•
Aspiring AWS Data Engineers

•
Candidates preparing for the DEA-C01 exam

•
Cloud professionals building real-world data pipelines

•
Developers transitioning into big data and analytics

Why This Guide Stands Out
? Fully aligned with the AWS DEA-C01 exam objectives
? Built around real AWS workflows, patterns, and architectures
? Includes exam tips, review questions, and troubleshooting guidance
? Reinforced with hands-on tutorials

Become a Confident AWS Data Engineer
By the end of this guide, you'll know how to design, optimize, secure, and operate scalable AWS data pipelines -- and you will be fully prepared to pass the AWS Certified Data Engineer - Associate exam.

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• Computers & TechnologyNetworking & CommunicationsCloud Computing
• Computers & TechnologyTech Culture & Computer LiteracyInformation Technology

• Publication Date: November 29, 2025
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 582 Pages
• File Size: 185 KB