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.

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Table of Contents (10 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Getting Started with Data Exploration
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
2
Configuring Superset and Using SQL Lab
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
3
User Authentication and Permissions
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
4
Visualizing Data in a Column
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
5
Comparing Feature Values
Comparing Feature Values
Dataset
Comparing multiple time series
Comparing two time series
Identifying differences in trends for two feature values
Summary
6
Drawing Connections between Entity Columns
Drawing Connections between Entity Columns
Datasets
Directed force networks
Chord diagrams
Sunburst chart
Sankey's diagram
Partitioning
Summary
7
Mapping Data That Has Location Information
Mapping Data That Has Location Information
Data
Scatter point
Scatter grid
Arcs
Path
Summary
8
Building Dashboards
Building Dashboards
Charts
Dashboards
Summary
9
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Creating the metadata database

The SQLALCHEMY_DATABASE_URI variable value is picked up by the Flask-AppBuilder manager to create the metadata database for the web app. The metadata database is persisted in ~/.superset/superset.db by default. This can be verified by running sqlite3 in the directory and listing the tables in the database:

shashank@superset:~/.superset$ sqlite3 
SQLite version 3.16.2 2017-01-06 16:32:41Enter ".help" for usage hints.Connected to a transient in-memory database.Use ".open FILENAME" to reopen on a persistent database.
sqlite> .open superset.db 
sqlite> .tables
ab_permission annotation_layer logs ab_permission_view clusters metrics ab_permission_view_role columns query ab_register_user css_templates saved_query ab_role dashboard_slices slice_user ab_user dashboard_user slices ab_user_role dashboards sql_metrics ab_view_menu datasources...
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