AWS Certified Data Engineer Study Guide

by Syed Humair; Chenjerai Gumbo; Adam Gatt; Asif Abbasi; Lakshmi Nair

Cloud Computing

Book Details

Book Title

AWS Certified Data Engineer Study Guide : Associate (DEA-C01) Exam

Author

Syed Humair; Chenjerai Gumbo; Adam Gatt; Asif Abbasi; Lakshmi Nair

Publisher

Sybex

Publication Date

2025

ISBN

9781394286591

Number of Pages

920

Language

English

Format

PDF

File Size

7.45MB

Subject

Cloud Computing > Data Engineering > AWS Certification

Table of Contents

  • Cover
  • Table of Contents
  • Title Page
  • Copyright
  • Acknowledgments
  • About the Authors
  • Foreword
  • Introduction
  • Chapter 1: Streaming and Batch Data Ingestion
  • The Evolution of Application Architectures and Data Stores
  • Introduction to the Modern Data Architecture
  • Introduction to Data Ingestion
  • Data Ingestion
  • Streaming Ingestion
  • Batch Ingestion
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 2: Building Automated Data Pipelines
  • Introduction
  • Introduction to Automated Data Pipelines
  • Data Pipeline Orchestration
  • Supporting AWS Services for Enhanced Orchestration
  • Applying Programming Concepts
  • Logging, Monitoring, and Auditing for Data Pipeline Orchestration
  • Case Studies and Real-World Examples
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 3: Data Transformation
  • Introduction to Data Integration
  • Data Transformation
  • Introduction to Containers
  • API-Driven Data Pipelines on AWS
  • Introduction to Data Quality
  • AWS Glue Data Quality
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 4: Storage Services
  • Introduction to Data Stores
  • Storage Platforms
  • Data Storage Formats
  • Storage Services and Configurations for Specific Performance Demands
  • Amazon Simple Storage Service
  • Amazon Elastic Block Storage
  • Amazon Elastic File System
  • Amazon File Cache
  • Amazon FSx
  • Implementing the Appropriate Storage Services for Specific Cost and Performance Requirements
  • Aligning Data Storage with Data Migration Requirements
  • Determining the Appropriate Storage Solution for Specific Access Patterns
  • Managing the Lifecycle of Data
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 5: Databases and Data Warehouses on AWS
  • Introduction
  • Amazon Redshift
  • Amazon DynamoDB
  • Amazon Relational Database Service
  • Amazon Neptune
  • Amazon DocumentDB (with MongoDB Compatibility)
  • Amazon MemoryDB for Redis
  • Amazon Keyspaces (for Apache Cassandra)
  • AWS Database Comparison
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 6: Data Catalogs
  • Data Catalogs
  • Data Quality at Rest
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 7: Visualizing Your Data
  • Introduction
  • Introduction to Data Visualization
  • Types of Data Visualizations
  • Principles of Effective Data Visualization
  • Trade-offs Between Provisioned and Serverless Services
  • AWS Services for Data Analysis and Visualization
  • Advanced SQL Techniques for Data Analysis
  • Data Cleansing and Preparation
  • Data Aggregation and Transformation Techniques
  • Best Practices for Data Analysis
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 8: Monitoring and Auditing Data
  • How to Log Application Data
  • Logging Best Practices
  • How to Log Access to AWS Services
  • Analyzing Logs Using AWS Services
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 9: Maintaining and Troubleshooting Data Operations
  • Introduction to Automating Data Processing Using AWS Services
  • Maintaining and Troubleshooting Data Processing
  • API Calls for Data Processing
  • Services That Accept Scripting
  • Orchestrating Data Pipelines
  • Troubleshooting Amazon Managed Workflows
  • Using AWS Services for Data Processing
  • Consuming and Maintaining Data APIs
  • Using Lambda for Data Processing
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 10: Authentication and Authorization
  • Introduction to Authentication
  • Introduction to Authorization
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 11: Data Encryption and Masking
  • Introduction
  • What Is Encryption and Why Is It Needed?
  • Encryption on AWS
  • Encryption on AWS Data Services
  • Data Masking
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 12: Data Privacy and Governance
  • Introduction
  • AWS Shared Responsibility Model
  • Understanding Data Privacy Fundamentals
  • AWS Services for Privacy Implementation
  • Data Governance
  • Regional Data Privacy Strategies
  • Summary
  • Exam Essentials
  • Review Questions
  • Chapter 13: How to Take the Exam
  • Chapter Overview
  • Register for the Exam
  • Preparing for the Exam
  • The Day Before the Exam
  • The Day of the Exam
  • After the Exam
  • Appendices
  • Appendix A: Answers to Review Questions
  • Appendix B: References
  • Index
  • End User License Agreement