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Course

Using Data Stores in AWS

IntermediateSkill Level

4.6+

Updated 04/2026

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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AWSCloud

3 hr

11 videos

44 Exercises

3,000 XP

Statement of Accomplishment

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Course Description

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.

Prerequisites

Intermediate Python Introduction to AWS Boto in Python Introduction 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.

Introduction to Data Stores in AWS

Match data stores to use cases

Explore AWS data services in Console

Compare data store characteristics

Data access patterns and consistency models

Match consistency models to scenarios

Configure DynamoDB read consistency

Analyze access patterns

Data lifecycle management and caching strategies

Match lifecycle strategies to scenarios

Choosing lifecycle policies for data types

Identify caching opportunities

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

Introduction to Amazon DynamoDB

Identify partition key cardinality

Design DynamoDB table with partition key

Design table with composite primary key

DynamoDB CRUD operations and Query vs Scan

Choosing between Query and Scan operations

Understanding PutItem operations in DynamoDB

Preventing race conditions with conditions

DynamoDB indexes, streams, and optimization

Understanding differences between GSI and LSI

Choosing the right GSI design for email lookups

Designing tables with Local Secondary Indexes

S3 deep dive: storage, versioning, and replication

Selecting optimal S3 storage classes

Implementing automatic storage class transitions

Protecting data with S3 versioning

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.

Data classification, encryption, and AWS KMS

Identifying PII and PHI in application data

AWS vs customer security responsibilities

When to use different encryption types

AWS Secrets Manager and Parameter Store

Selecting the right service for secret management

Understanding how applications access secrets

Understanding automatic credential rotation

Data sanitization and masking

Classifying data by masking technique

Understanding partial masking implementation

Preventing PII exposure in application logs

Multi-tenant data access patterns and IAM policies

Choosing isolation patterns for scenarios

Partition key design for tenant isolation

Understanding IAM condition keys for DynamoDB

Using Data Stores in AWS

Course
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Laurence

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3 weeks ago

Storing and securing data are well-covered.

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Laurence

Napaporn

"Storing and securing data are well-covered."

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FAQs

Which AWS data services does this course cover?

The course covers DynamoDB, S3, ElastiCache, and OpenSearch. You will learn when to use each service based on access patterns and consistency requirements.

Does this course teach how to secure sensitive data like PII and PHI in AWS?

Yes, Chapter 3 covers classifying PII and PHI, encrypting with KMS, managing secrets with Secrets Manager and Parameter Store, sanitizing logs, and implementing multi-tenant isolation.

What hands-on DynamoDB skills will I gain from this course?

You will design scalable tables with high-cardinality partition keys, perform CRUD operations, work with indexes, and compare Query versus Scan to optimize performance and cost.

Do I need Python experience for this course?

Yes, the course requires Intermediate Python and familiarity with AWS Boto in Python. You will interact with AWS services programmatically using Python.

What S3 features are covered beyond basic storage?

You will implement lifecycle policies to transition data through storage classes automatically, use versioning to protect against accidental deletion, and configure replication.

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