Apache Superset Quick Start Guide: Develop interactive visualizations by creating user-friendly dashboards - Softcover

Shekhar, Shashank

Softcover

ISBN 10: 1788992245 ISBN 13: 9781788992244

Publisher: Packt Publishing, 2018

Synopsis

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.

Key Features

• Work with Apache Superset's rich set of data visualizations
• Create interactive dashboards and data storytelling
• Easily explore data

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.

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

Who this book is for

This book is for data analysts, BI professionals, and developers who want to learn Apache Superset. If you want to create interactive dashboards from SQL databases, this book is what you need. Working knowledge of Python will be an advantage but not necessary to understand this book.

Table of Contents

1. Getting Started with Data Exploration
2. Configuring Superset and Using SQL Lab
3. User Authentication and Permissions
4. Visualizing Data in a Column
5. Comparing Feature Values
6. Drawing Connections between Entity Columns
7. Mapping Data That Has Location Information
8. Building Dashboards

About this title

About the Author

Shashank Shekhar is a data analyst and open source enthusiast. He has contributed to Superset and pymc3 (the Python Bayesian machine learning library), and maintains several public repositories on machine learning and data analysis projects of his own on GitHub. He heads up the data science team at HyperTrack, where he designs and implements machine learning algorithms to obtain insights from movement data. Previously, he worked at Amino on claims data. He has worked as a data scientist in Silicon Valley for 5 years. His background is in systems engineering and optimization theory, and he carries that perspective when thinking about data science, biology, culture, and history.

Edition details

• Publisher: Packt Publishing
• Publication date: 2018
• Language: English
• ISBN 10: 1788992245
• ISBN 13: 9781788992244
• Binding: Paperback
• Number of pages: 188