Book Image

Actionable Insights with Amazon QuickSight

By : Manos Samatas
Book Image

Actionable Insights with Amazon QuickSight

By: Manos Samatas

Overview of this book

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.
Table of Contents (15 chapters)
1
Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
6
Section 2: Advanced Dashboarding and Insights
10
Section 3: Advanced Topics and Management

Summary

Congratulations on completing this chapter.

In this chapter, we learned the different options of accessing the QuickSight API, including the CLI, and we have seen an example using the Python SDK. Then, using the AWS CLI, we learned how to control our QuickSight resources programmatically. We learned how to create a new data source programmatically, and we also used the QuickSight API to control the account settings (such as changing the default theme of QuickSight). Finally, using a simple example, we learned how to use the template API to create an analysis blueprint, and then how to use the template to create an analysis programmatically.

Using the things you learned in this chapter, you will be able to control QuickSight resources programmatically, which will make it easier to work across multiple environments and securely and consistently apply changes to your QuickSight account. Finally, using a simple hands-on example, we learned how to build an event-driven application...