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)

Summary

With two datasets, we were able to compare the prices of food commodities. We then dived deep into a comparison of the imported prices of oranges and bananas in United States. We made use of five chart types that helped to give us a better understanding of how bananas correlate with respect to oranges, although we did not attempt to quantify the relationship between banana and orange import prices. Still, we were able to understand how they differed in a very significant way.

In the next chapter, we will visualize relationships as graphs instead of coordinates on orthogonal axes. This will help us to visualize features in a dataset connected in a network.