Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool - Amazon QuickSight, including embedded analytics and ML-powered insights
Key Features
- Understand how to set up Amazon QuickSight, manage data sources, and build and share dashboards
- Learn the advanced features of Amazon Quicksight to develop interactive and embedded dashboards
- Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail
Book Description
The adoption of cloud-native BI tools, like Amazon QuickSight, enables organizations to gather insights from data at scale. This book is a practical guide to performing simple-to-advanced tasks with Amazon QuickSight.
You’ll begin by learning QuickSight’s fundamental concepts and how to configure data sources. Next, you’ll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards. The book will also demonstrate how to develop and share interactive dashboards with parameters and on-screen controls. Advanced filtering options with URL actions will then be covered, before learning how to set up alerts and scheduled reports. Later, you’ll explore the Insights visual type in QuickSight using both existing insights and by building custom insights. Further chapters will show you how to add machine learning insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You’ll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you’ll learn advanced topics such as embedded dashboards and multitenancy.
By the end of this book, you’ll be well-versed with QuickSight’s BI and analytics functionalities that will help you create BI apps with ML capabilities.
What you will learn
- Understand the wider AWS analytics ecosystem and how QuickSight fits within it
- Set up and configure data sources with Amazon QuickSight
- Include custom controls and add interactivity to your BI application using parameters
- Add ML insights such as forecasting, anomaly detection, and narratives
- Explore patterns to automate operations using QuickSight APIs
- Create interactive dashboards and storytelling with Amazon QuickSight
- Design an embedded multi-tenant analytics architecture
- Focus on data permissions and how to manage Amazon QuickSight operations
Who this book is for
This book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. This book will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical examples. You will need to be familiar with general data visualization concepts, however, no prior experience with Amazon QuickSight is required.
Table of Contents
- Introducing the AWS Analytics Ecosystem
- Introduction to Amazon QuickSight
- Preparing Data with Amazon QuickSight
- Developing Visuals and Dashboards
- Building Interactive Dashboards
- Working with ML Capabilities and Insights
- Understanding Embedded Analytics
- Understanding the QuickSight API
- Managing QuickSight Permissions and Usage
- Multitenancy in Amazon QuickSight
Manos Samatas is a Solutions Architect specializing in Big Data and Analytics. He has several years of experience developing and designing big data applications for various industries, including telecommunications, cybersecurity, healthcare, and public sector. He is an accredited AWS Subject Matter Expert (SME) in Analytics and he is certified with the AWS Data Analytics Specialty and the AWS Solutions Architect Professional certifications. Manos lives in London with his fiancé Gabriela. In his free time, he enjoys traveling, socializing with friends, and taking care of his plants.
