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Apache Superset Quick Start Guide

By : Shekhar

3.5 (2)

Buy this Book

Apache Superset Quick Start Guide

3.5 (2)

By: Shekhar

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

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Free Chapter

Getting Started with Data Exploration

Datasets

Installing Superset

Sharing Superset

Configuring Superset

Adding a database

Adding a table

Creating a visualization

Uploading a CSV

Configuring the table schema

Customizing the visualization

Making a dashboard

Summary

Configuring Superset and Using SQL Lab

Setting the web server

Creating the metadata database

Migrating data from SQLite to PostgreSQL

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

Main configuration file

SQL Lab

Summary

User Authentication and Permissions

Security features

Setting up OAuth Google sign-in

List Users page

List Base Permissions page

Views/Menus page

List Permissions on Views/Menus pages

Alpha and gamma – building blocks for custom roles

User Statistics page

Action log

Summary

Visualizing Data in a Column

Dataset

Distribution – histogram

Comparison – relationship between feature values

Comparison – box plots for groups of feature values

Comparison – side-by-side visualization of two feature values

Summary statistics – headline

Summary

Comparing Feature Values

Dataset

Comparing multiple time series

Comparing two time series

Identifying differences in trends for two feature values

Summary

Drawing Connections between Entity Columns

Datasets

Directed force networks

Chord diagrams

Sunburst chart

Sankey's diagram

Partitioning

Summary

Mapping Data That Has Location Information

Data

Scatter point

Scatter grid

Arcs

Path

Summary

Building Dashboards

Charts

Dashboards

Summary

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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: