AWS Certified Data Engineer Study Guide

Associate (DEA-C01) Exam

Syed Humair, Chenjerai Gumbo, Adam Gatt , Asif Abbasi

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English

Sybex Inc.,U.S.
10 April 2025

Computer programming & software development; Data capture & analysis; Data mining; Computer certification

Series: Sybex Study Guide

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam

The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam – quickly and efficiently – with Sybex.

Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for:

Data Ingestion and Transformation Data Store Management Data Operations and Support Data Security and Governance

ABOUT THE AWS DATA ENGINEER – ASSOCIATE CERTIFICATION

The AWS Data Engineer – Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices

Interactive learning environment

Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:

• Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.

• 100 electronic flashcards to reinforce learning and last-minute prep before the exam

• Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

By: Syed Humair, Chenjerai Gumbo, Adam Gatt, Asif Abbasi, Lakshmi Nair
Imprint: Sybex Inc.,U.S.
Country of Publication: United States
Dimensions: Height: 234mm, Width: 188mm, Spine: 38mm
Weight: 907g
ISBN: 9781394286584
ISBN 10: 1394286589
Series: Sybex Study Guide
Pages: 656
Publication Date: 10 April 2025
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Introduction xxiii Assessment Test xxx Chapter 1 Streaming and Batch Data Ingestion 1 Chapter 2 Building Automated Data Pipelines 79 Chapter 3 Data Transformation 143 Chapter 4 Storage Services 243 Chapter 5 Databases and Data Warehouses on AWS 289 Chapter 6 Data Catalogs 351 Chapter 7 Visualizing Your Data 371 Chapter 8 Monitoring and Auditing Data 417 Chapter 9 Maintaining and Troubleshooting Data Operations 435 Chapter 10 Authentication and Authorization 453 Chapter 11 Data Encryption and Masking 509 Chapter 12 Data Privacy and Governance 529 Appendix A Answers to Review Questions 565 Appendix B References 591 Index 593

ABOUT THE AUTHORS SYED HUMAIR is a Senior Specialist Solutions Architect (Data Analytics) at Amazon Web Services. CHENJERAI GUMBO is an AWS Solutions Architect Leader – Analytics for the EMEA region. ADAM GATT is a Senior Specialist Solution Architect – Analytics at AWS. He has over 20 years’ experience in data and data warehousing. ASIF ABBASI is a Principal Specialist Solutions Architect at AWS, a published author on various data related topics, and has over 20 years of experience working in various data roles, leading the engineering to executive conversations at various enterprises. LAKSHMI NAIR is a Senior Analytics Solutions Architect at Amazon Web Services with experience of over 14 years, spanning across different enterprise architecture areas, data strategy and analytics.