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)
Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
Section 2: Advanced Dashboarding and Insights
Section 3: Advanced Topics and Management

Working with advanced operations

In this section, we will focus on advanced dataset operations. We will learn to add calculated fields to our dataset and apply dataset operations such as filtering and joining. Finally, we will add security controls, including row- and column-level filters. For this section, we will use our SPICE dataset that we configured earlier in this chapter.

Adding calculated fields

QuickSight allows BI developers to add calculated fields to their datasets at the data preparation stage. This dataset, including its calculated fields, can then be used to develop multiple analyses.

There are a number of prebuilt functions with QuickSight that we can use when building a calculated field. Those functions include the following:

  • Aggregate functions are used to calculate metrics over a number of values. For example, we can use the min() function to calculate the minimum value of a set of values.
  • Conditional functions allow us to use conditional logic...