Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
Chapter 1: Introducing the AWS Analytics Ecosystem
Discovering the AWS analytics ecosystem
Data lake storage and governance
Exploring the modern data architecture on AWS
Data lakes versus data warehouses
modern data architecture on AWS
Creating a basic modern data architecture
Creating the data lake storage
Chapter 2: Introduction to Amazon QuickSight
Introducing Amazon QuickSight
Introducing Amazon QuickSight user types
Introducing QuickSight architecture
Introducing QuickSight editions and user authorization options
User authorization with QuickSight
Setting up Amazon QuickSight
Chapter 3: Preparing Data with Amazon QuickSight
Adding QuickSight data sources
Supported data sources with QuickSight
Configuring our first data source
Editing column names and data types
Working with advanced operations
Filtering and joining datasets
Configuring security controls
Chapter 4: Developing Visuals and Dashboards
Working with QuickSight visuals
Customizing the look and feel of the application
Section 2: Advanced Dashboarding and Insights
Chapter 5: Building Interactive Dashboards
Using filters and parameters
Working with filter actions
Working with navigation actions
Chapter 6: Working with ML Capabilities and Insights
Working with what-if scenarios
Adding suggested insights
Creating and editing an insight
Working with forecasting insights
Working with anomaly detection insights
Chapter 7: Understanding Embedded Analytics
Introducing QuickSight embedded analytics
Understanding the business drivers for embedding
Understanding embedded analytics types
Understanding read-only dashboard embedding