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AWS Certified Data Engineer Associate Study Guide – 1st Edition

AWS Certified Data Engineer Associate Study Guide – 1st Edition

$29.99

Description

DEA-C01: AWS Certified Data Engineer Associate Exam Study Guide: 1st Edition – 2025

Ready to master data engineering on AWS and pass the DEA-C01 certification exam with confidence? This all-in-one study guide is your ultimate resource for becoming an AWS Certified Data Engineer Associate in 2025. Whether you’re an experienced cloud professional or just starting your journey into data engineering, this guide has everything you need to succeed.

About the Book

This comprehensive guide is tailored to help you prepare effectively for the DEA-C01 AWS Certified Data Engineer Associate exam. Whether you’re a seasoned data engineer, a cloud professional, or a beginner exploring AWS data solutions, this guide will take you through foundational concepts to advanced practices in data engineering.

What’s Inside:

  • Fully Aligned with DEA-C01 Exam Objectives
    Detailed coverage of every domain and topic you’ll encounter on the exam.

  • Scenario-Based Practice Questions
    Test your readiness with realistic questions based on real-world data engineering challenges.

  • Hands-On Labs
    Build and experiment with AWS services through guided, practical labs.

  • Mind Maps & Diagrams
    Visual aids to simplify complex concepts and improve retention.

  • Real-World Case Studies
    Understand how to solve business problems using AWS data tools.

  • Proven Exam Strategies
    Tips, tricks, and techniques to help you stay focused and confident on exam day.

What You’ll Learn:

  • Build scalable and secure data storage solutions with Amazon S3 and Glacier.
  • Create robust data pipelines with AWS Glue and Lambda.
  • Analyze massive datasets using Amazon Redshift and Athena.
  • Process real-time data streams with Amazon Kinesis.
  • Manage big data workloads with Amazon EMR.
  • Optimize cost and performance for AWS-based data solutions.
  • Implement best practices for security, monitoring, and automation in data engineering

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