Professional Level

5 Hands-on labs

Amazon DynamoDB Data Modeling

By Mark Richman

This course teaches the skills to effectively build scalable, cost-efficient, high-performance applications using DynamoDB.

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9 hours

42 Lessons
5 Hands-On Labs

About the course

Welcome to the Amazon DynamoDB Data Modeling course.

In this course, you will learn:

NoSQL concepts and DynamoDB’s features
How to optimize DynamoDB for:
- Runtime performance
- Cost
DynamoDB data modeling patterns
- 1:N, N:M, hierarchical, GSI overloading, and more
- Write sharding, sparse indexes, and materialized aggregations
- Strategies to migrate data from RDBMS to DynamoDB

You’ll further solidify your learning with real-world examples and hands-on labs.

By the end of this course, you’ll have the necessary skills and knowledge to effectively build scalable, cost-efficient, high-performance applications using DynamoDB.

Thank you for taking the course — let’s get started!

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Chapter 1 4 Lessons Introduction 12:01

An Important Note About A Cloud Guru and Linux Academy Courses
1:19

Course Introduction
3:11

About the Training Architect
0:58

NoSQL Concepts
6:33
Chapter 2 6 Lessons Understanding DynamoDB Data Structures 37:19

DynamoDB and Tables
11:33

Items and Attributes
2:51

Partition and Sort Keys
3:23

Data Types
2:59

Indexes
9:32

Demo: Creating a Table
7:01
Chapter 3 1 Lesson Partition Keys 6:49

Partition Keys
6:49
Chapter 4 12 Lessons Common Patterns 3:39:59

NoSQL Data Modeling Concepts
4:11

One-to-Many Relationships
8:47

Adjacency Lists and Many-to-Many Relationships
11:00

Hierarchical Data
14:52

GSI Overloading
8:31

Write Sharding
12:48

Item Versioning
10:54

Sparse Indexes
4:42

Materialized Aggregations
9:14

Managing Data Relationships in DynamoDB
45:00 Hands-On Lab

Utilizing Write Sharding to Optimize Data Ingestion
45:00 Hands-On Lab

Tracking CodeCommit Metadata with DynamoDB
45:00 Hands-On Lab
Chapter 5 4 Lessons Qualifying Your Workload’s Requirements 18:51

Simple Case Study
2:04

Defining an Entity–Relationship Model
5:10

Documenting Access Patterns
4:16

Data Lifecycle
7:21
Chapter 6 2 Lessons Interpreting Access Patterns 22:15

Optimizing for Read/Write Workloads
4:05

Volume, Velocity, and Variety
18:10
Chapter 7 4 Lessons Scenario 1 - User Profile Microservice 2:27:22

Scenario
4:01

Entities and Access Patterns
2:04

Data Model
21:17

Building a Microservice Application and DynamoDB Data Model
2:00:00 Hands-On Lab
Chapter 8 8 Lessons Scenario 2 - Relational to DynamoDB Migration 1:55:40

Scenario
2:44

Planning Phase
5:05

Data Analysis Phase
5:36

Data Modeling Phase
13:11

Testing Phase
3:01

Data Migration Phase
18:09

Evolving a Data Model
7:54

Migrating from a Relational Database to DynamoDB
1:00:00 Hands-On Lab
Chapter 9 1 Lesson What's Next? 1:53

What's Next?
1:53

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

Amazon DynamoDB Data Modeling

About the course

Lab Highlights

An Important Note About A Cloud Guru and Linux Academy Courses

Course Introduction

About the Training Architect

NoSQL Concepts

DynamoDB and Tables

Items and Attributes

Partition and Sort Keys

Data Types

Indexes

Demo: Creating a Table

Partition Keys

NoSQL Data Modeling Concepts

One-to-Many Relationships

Adjacency Lists and Many-to-Many Relationships

Hierarchical Data

GSI Overloading

Write Sharding

Item Versioning

Sparse Indexes

Materialized Aggregations

Managing Data Relationships in DynamoDB

Utilizing Write Sharding to Optimize Data Ingestion

Tracking CodeCommit Metadata with DynamoDB

Simple Case Study

Defining an Entity–Relationship Model

Documenting Access Patterns

Data Lifecycle

Optimizing for Read/Write Workloads

Volume, Velocity, and Variety

Scenario

Entities and Access Patterns

Data Model

Building a Microservice Application and DynamoDB Data Model

Scenario

Planning Phase

Data Analysis Phase

Data Modeling Phase

Testing Phase

Data Migration Phase

Evolving a Data Model

Migrating from a Relational Database to DynamoDB

What's Next?

What you will need

What are Hands-on Labs

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