Book Image

Apache Superset Quick Start Guide

By : Shashank Shekhar
Book Image

Apache Superset Quick Start Guide

By: Shashank Shekhar

Overview of this book

Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers.
Table of Contents (10 chapters)

Building Dashboards

Dashboards are reporting tools for visually analyzing key data points and tracking insightful metrics. Effective dashboards have layouts that distribute screen space proportionally, based on the reader's required attention for each chart. The chart type and its position on a dashboard affect the readability of data points and their meaning in the overarching story flow of the dashboard.

We have made many types of charts in our book, and our goal was to answer a set of related questions for each dataset. In this chapter, we'll try to organize the charts so that the dashboard is effective at coherently communicating those answers. We'll cover the following topics:

  • Charts
  • Dashboards