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)

Getting Started with Data Exploration

Apache Superset is a web platform for creating data visualizations and telling stories with data using dashboards. Packing visualizations in a dashboard is fun, and dashboards render updates to the visualizations in real time.

The best part is that Superset has a very interactive user experience. Programming knowledge is not required for using Superset.

Superset makes it easy to share and collaborate on data analytics work. It has user roles and permission management built into it as core components. This makes it a great choice for data analysis work collaboration between a cross functional team of data analysts, business professionals, and software engineers.

There all sorts of charts to make on Superset. Many common analytical questions on data can be addressed using the charts, which are easy to use. In this book, we will do data exploration and analysis of different types of datasets. In the process, we will try to understand different aspects of Superset.

In this chapter, we will learn about the following:

  • Datasets
  • Installing Superset
  • Sharing Superset
  • Configuring Superset
  • Adding a database
  • Adding a table
  • Creating a chart
  • Uploading a CSV file
  • Configuring a table schema
  • Customizing the visualization
  • Making a dashboard