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)

Web server

We can integrate Superset with many web server options, such as Gunicorn, NGINX, and Apache HTTP, depending on our runtime requirements.

Web servers handle HTTP or HTTPS requests. A Superset web server typically processes a large number of such requests to render charts. Each request generates an I/O-bound database query in Superset. This query is not CPU-bound because the query execution happens at the database level and the result is returned to Superset by the database query execution engine. Requests to a Superset web server almost always require a dynamic output and not a static resource as a response. Gunicorn is a Python WSGI HTTP server. WSGI is a Python application interface based on the Python Enhancement Proposal (PEP) 333 standard. It specifies how Python applications interface with a web server. Gunicorn is the recommended web server for deploying a Superset...