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 Description

Amazon 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 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. 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.

Table of Contents

1. Introducing the AWS Analytics Ecosystem
2. Introduction to Amazon QuickSight
3. Preparing Data with Amazon QuickSight
4. Developing Visuals and Dashboards
5. Building Interactive Dashboards
6. Working with ML Capabilities and Insights
7. Understanding Embedded Analytics
8. Understanding the QuickSight API
9. Managing QuickSight Permissions and Usage
10. Multitenancy in Amazon QuickSight

About the Author

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.