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Full Description
Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly
Key Features
Explore Amazon QuickSight, manage data sources, and build and share dashboards
Learn best practices from an AWS certified big data solutions architect
Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrail
Book DescriptionAmazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table - but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities.
After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports.
Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML 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 forThis 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. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.
Contents
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
