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)

Configuring Superset and Using SQL Lab

Superset has a flexible software architecture. This means that a Superset setup can be made for many different production environment needs. The production environment at Airbnb runs Superset inside Kubernetes and serves 600+ daily users, rendering over 100,000 charts every day.

At the same time, Superset can be set up with default settings for most users. When launching our first dashboard on a Google Compute Instance, we did not have to make any changes to the default parameters.

In this chapter, we will learn about the following:

  • Setting the web server
  • Metadata database
  • Web server
  • Setting up an NGINX reverse proxy
  • Setting up HTTPS or SSL certification
  • Flask-AppBuilder permissions
  • Securing session data
  • Caching queries
  • Mapbox access token
  • Long-running queries
  • Upgrading Superset
  • Main configuration file
  • SQL Lab