فهرست مطالب

• 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