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Using Data Stores in AWS

中级技能水平
更新时间 2026年4月
Learn to choose, build with, and secure AWS data stores including DynamoDB and S3 through hands-on console exercises and real-world scenarios.
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课程描述

Master the essential AWS data services that power modern applications. In this hands-on course, you'll learn when and why to use DynamoDB, S3, ElastiCache, and OpenSearch by matching each service to real-world access patterns and consistency requirements. You'll design scalable DynamoDB tables with high-cardinality partition keys, perform CRUD operations, and compare Query vs Scan to optimize performance and cost. On the S3 side, you'll implement lifecycle policies to automatically transition data through storage classes and use versioning to protect against accidental deletion. The course wraps up with securing sensitive data end-to-end — classifying PII and PHI, managing secrets with Secrets Manager and Parameter Store, applying data masking techniques, and implementing multi-tenant isolation using IAM condition keys. By the end, you'll be able to choose, build with, and secure AWS data stores for production applications.

先决条件

Intermediate PythonIntroduction to AWS Boto in PythonIntroduction to Shell
1

Choosing the Right AWS Data Store

Learn when and why to use DynamoDB, S3, ElastiCache, and OpenSearch. Explore data access patterns, consistency models, lifecycle management, and caching strategies to make informed storage decisions for your applications.
开始章节
2

Building with DynamoDB and S3

Go hands-on with AWS's two most essential data services. Design scalable DynamoDB tables, master CRUD operations and indexes, and optimize S3 with storage classes, versioning, lifecycle policies, and replication
开始章节
3

Securing and Isolating Sensitive Data

Protect application data end-to-end. Classify PII and PHI, encrypt with KMS, manage secrets with Secrets Manager and Parameter Store, sanitize logs, and implement multi-tenant isolation using IAM condition keys.
开始章节
Using Data Stores in AWS
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