Apache Superset Quick Start Guide

Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards.

Apache Superset Quick Start Guide

Shashank Shekhar

Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards.
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Book Details

ISBN 139781788992244
Paperback188 pages

Book Description

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

Chapter 7: Mapping Data That Has Location Information
Chapter 8: Building Dashboards

What You Will Learn

  • Get to grips with the fundamentals of data exploration using Superset
  • Set up a working instance of Superset on cloud services like Google Compute Engine
  • Integrate Superset with SQL databases
  • Build dashboards with Superset
  • Calculate statistics in Superset for numerical, categorical, or text data
  • Understand visualization techniques, filtering, and grouping by aggregation
  • Manage user roles and permissions in Superset
  • Work with SQL Lab

Authors

Table of Contents

Chapter 7: Mapping Data That Has Location Information
Chapter 8: Building Dashboards

Book Details

ISBN 139781788992244
Paperback188 pages
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