Learn how to incorporate Amazon RDS, DynamoDB, and Redshift into your data-driven applications. Explore each database and learn how to use it effectively.

Getting Started 24m 21s
Introduction 1m 16s
About Amazon Databases 1m 22s
Comparing Amazon Databases 3m 4s
Demo: Exploring the Management Console 2m 43s
Database Pricing 3m 47s
Additional Database Charges 2m 8s
Plan for the Course 2m 42s
Sample Application 2m 34s
Demo: Exercise Setup 3m 12s
Summary 1m 29s
Amazon RDS – Creating Instances, Loading Data 46m 34s
Introduction 1m 35s
What Is RDS? 1m 38s
Native Capabilities 2m 33s
What Aspects Are 'Managed'? 2m 0s
Supported RDS Databases 59s
RDS Storage Options 2m 34s
Creating Instances and Upfront Choices 2m 38s
Database Engine Options 1m 44s
Demo: Creating a MySQL Database Instance 4m 35s
IAM Policies 1m 57s
Security Groups 1m 55s
Demo: Securing the Database Instance 1m 23s
Connecting to an Instance 2m 2s
App Table Schemas 1m 14s
Demo: Connect to Instances and Create Tables 3m 9s
Importing Data 3m 49s
Demo: Importing Flat File Data 9m 1s
Summary 1m 40s
Amazon RDS – Lifecycle Activities 1h 0m 35s
Introduction 1m 28s
Backup and Restore 3m 3s
Demo: Restoring a Backup 7m 7s
Working with Snapshots 3m 13s
Demo: Creating and Restoring a Snapsho t2m 26s
Database Scaling 33s
Scaling Databases Up 2m 19s
Demo: Resizing a Database Instance 2m 59s
Read Replicas 5m 47s
Demo: Creating and Testing a Read Replica 6m 29s
High Availability via Multi-AZ Deployment 5m 4s
Demo: Configuring and Testing a Multi-AZ Deployment 6m 0s
Scaling Recap 1m 27s
Using Database Logs 2m 34s
Monitoring RDS 1m 29s
Demo: Reviewing RDS Monitoring Options 4m 41s
Upgrading Database Instances 2m 36s
Summary 1m 13s
Amazon DynamoDB – Creating and Querying 55m 49s
Introduction 1m 51s
NoSQL Database Categories 3m 17s
DynamoDB Defined 24s
Core Concepts 1m 38s
Native Capabilities 3m 20s
DynamoDB Data Model 1m 1s
What Aspects Are 'Managed'? 1m 10s
Creating Tables 2m 1s
Attribute Data Types 2m 1s
Understanding Throughput Units 4m 46s
How Partitioning Works 4m 9s
Table Design Considerations 3m 2s
App Table Structure 1m 4s
Demo: Creating a DynamoDB Table 3m 12s
Loading Data 2m 0s
Demo: Importing Data into Tables 3m 2s
Creating and Updating Items 1m 53s
Demo: Creating and Updating Items 8m 59s
Query and Scan 2m 47s
Demo: Retrieving Data 2m 40s
Summary 1m 23s
Amazon DynamoDB – Tuning and Scaling 37m 25s
Introduction 1m 15s
IAM Policies 2m 19s
Demo: Applying Security 4m 56s
Purpose of Secondary Indexes 1m 23s
Global Secondary Index 2m 49s
App Table Structure 1m 11s
Demo: Adding and Querying a Global Secondary Index 11m 11s
Local Secondary Index 2m 15s
Differences Between Global and Local Secondary Indexes 2m 14s
Scaling Tables 1m 29s
Monitor with CloudWatch 1m 47s
Demo: Reviewing DynamoDB CloudWatch Metrics 3m 13s
Summary 1m 18s
Amazon Redshift – Creating Clusters and Databases 44m 26s
Introduction 1m 47s
What Is Redshift? 16s
About Data Warehouses 2m 25s
Core Concepts 2m 9s
Native Capabilities 2m 24s
Redshift Architecture 2m 45s
Columnar Data Storage 2m 2s
Creating Redshift Clusters 2m 39s
Cluster Creation Considerations 1m 17s
Demo: Create a Redshift Cluster 3m 25s
Redshift Security 1m 32s
Demo: Applying Security to Redshift 2m 11s
Redshift Encryption Support 2m 59s
Connecting from Client Tools 1m 23s
Demo: Connecting from Client Tools 2m 25s
Redshift Tables 4m 49s
Best Practices 2m 31s
App Data Warehouse Table Structure 49s
Demo: Creating Redshift Tables 3m 36s
Summary 55s
Amazon Redshift – Data Loading and Managing 43m 16s
Introduction 58s
Loading Data from Integrated Data Sources 2m 29s
Role of Data Pipeline 1m 0s
Best Practices for Data Loading 2m 29s
Demo: Loading Data into Redshift 8m 45s
Differences from PostgreSQL 3m 8s
Demo: Querying Redshift 4m 6s
Creating and Managing Snapshots 3m 42s
Demo: Creating a Snapshot 2m 31s
Resizing Redshift Clusters 2m 55s
Demo: Resizing a Cluster 3m 12s
Setting up CloudWatch Alarms 1m 10s
VIewing Query and Performance Metrics 1m 24s
Demo: Reviewing Monitoring Metrics3m 30s
Summary 1m 49s