Cover
Copyright
Contributors
Table of Contents
Preface
Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
Chapter 1: Introducing the AWS Analytics Ecosystem
Technical requirements
Discovering the AWS analytics ecosystem
Business intelligence
Data warehousing
Data lake storage and governance
Ad hoc analytics
Extract, transform, load
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
Summary
Questions
Further reading
Chapter 2: Introduction to Amazon QuickSight
Technical requirements
Introducing Amazon QuickSight
Datasets
Analysis
Visuals and insights
Dashboards
Introducing Amazon QuickSight user types
Introducing QuickSight architecture
Introducing QuickSight editions and user authorization options
QuickSight editions
User authorization with QuickSight
Setting up Amazon QuickSight
Summary
Questions
Further reading
Chapter 3: Preparing Data with Amazon QuickSight
Technical requirements
Adding QuickSight data sources
Supported data sources with QuickSight
Configuring our first data source
Editing datasets
Importing into SPICE
Editing column names and data types
Working with advanced operations
Adding calculated fields
Filtering and joining datasets
Configuring security controls
Summary
Q&A
Further reading
Chapter 4: Developing Visuals and Dashboards
Technical requirements
Working with QuickSight visuals
Creating an analysis
Supported visual types
Publishing dashboards
Customizing the look and feel of the application
Applying themes
Formatting visuals
Summary
Q&A
Further reading
Section 2: Advanced Dashboarding and Insights
Chapter 5: Building Interactive Dashboards
Technical requirements
Using filters and parameters
Working with filters
Working with parameters
Working with actions
Working with filter actions
Working with navigation actions
Working with URL actions
Summary
Q&A
Further reading
Chapter 6: Working with ML Capabilities and Insights
Technical requirements
Using forecasting
Adding forecasting
Working with what-if scenarios
Working with insights
Adding suggested insights
Creating and editing an insight
Working with ML insights
Working with forecasting insights
Working with anomaly detection insights
Summary
Questions
Further reading
Chapter 7: Understanding Embedded Analytics
Technical requirements
Introducing QuickSight embedded analytics
Understanding the business drivers for embedding
Understanding embedded analytics types
Understanding read-only dashboard embedding
Exploring the architecture and user authentication
Overview of the web application layer
Overview of the BI layer
Understanding the authentication layer
Putting everything together
Generating an embedded dashboard URL
Summary
Q&A
Further reading
Section 3: Advanced Topics and Management
Chapter 8: Understanding the QuickSight API
Technical requirements
Introducing the QuickSight API
Accessing the QuickSight API
Controlling resources using the QuickSight API
Setting up a dataset using the CLI
Editing account settings using the QuickSight API
Reusing assets using the template API
Building automation using the QuickSight API
Summary
Questions
Further reading
Chapter 9: Managing QuickSight Permissions and Usage
Technical requirements
Managing QuickSight permissions
Using user groups
Setting up custom permissions
Integrating with Amazon Lake Formation
Managing QuickSight usage
Managing folders
Creating reports and alerts
Working with QuickSight threshold-based alerts
Summary
Questions
Further reading
Chapter 10: Multitenancy in Amazon QuickSight
Technical requirements
Introducing multitenancy using namespaces
Understanding multitenancy
Introducing QuickSight namespaces
Setting up multitenancy
Creating a namespace
Using QuickSight namespaces
Summary
Questions
Further reading
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Index