You're reading from Apache Superset Quick Start Guide Develop interactive visualizations by creating user-friendly dashboards

Product type Paperback

Published in Dec 2018

Publisher

ISBN-13 9781788992244

Length 188 pages

Edition 1st Edition

Languages

Python

Tools

Apache Superset

Concepts

Business Intelligence

Author (1):

Shashank Shekhar

View More author details

Table of Contents (10) Chapters

Preface

1. Getting Started with Data Exploration

2. Configuring Superset and Using SQL Lab FREE CHAPTER

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

9. Other Books You May Enjoy

Leave a review - let other readers know what you think

Preface

Apache Superset is a modern, open source, enterprise-ready Business Intelligence (BI) web application. Connecting it to a SQL database allows you to create real-time data visualizations and BI dashboards. This book gets you started with making the best use of Superset for your organization.

The rest of the chapter is locked

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Shekhar

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.

See other products by Shekhar