English | 2022 | ISBN: 9781801079297 | 201 pages | True EPUB + Code | 8.02 MB

Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool - QuickSight, including embedded analytics and ML-powered insights
Key Features
Understand how to set up QuickSight, manage data sources, and build and share dashboards
Learn the advanced features of Quicksight to develop interactive and embedded dashboards
Manage and monitor dashboards using the QuickSight API and other AWS services such as CloudTrail
Book Description
The adoption of cloud-native BI tools, like QuickSight, enables organizations to gather insights from data at scale.

This book is a practical guide to perfog simple-to-advanced tasks with QuickSight.
You'll b 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 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 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 QuickSight
Design an embedded multi-tenant analytics architecture
Focus on data permissions and how to manage 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 QuickSight. This book will also be useful for anyone who wants to learn QuickSight in depth using practical examples. You will need to be familiar with general data visualization concepts, however, no prior experience with QuickSight is required.
Table of Contents
Introducing the AWS Analytics Ecosystem
Introduction to QuickSight
Preparing Data with 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 QuickSight



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