AWS Certified Data Engineer Study Guide
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
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