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You're reading from  Apache Superset Quick Start Guide

Product typeBook
Published inDec 2018
Reading LevelIntermediate
Publisher
ISBN-139781788992244
Edition1st Edition
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Shashank Shekhar
Shashank Shekhar
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Shashank 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.
Read more about Shashank Shekhar

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Setting up HTTPS or SSL certification

We will be using Let's Encrypt (https://letsencrypt.org/) a free, automated, and open certificate authority managed by the non-profit Internet Security Research Group (ISRG).

Secure Socket Layer (SSL) is a secure transport layer that can be used in any protocol; HTTPS is a common instance of it, that we will be implementing for our Superset web server.

Just like most other things, configuring SSL has OS level dependencies. First, we will install certbot, which is the free automated certificate service. It needs to verify our site first. It does this by doing some checks (which it calls challenges) in http://<url>/.well_known:

# Install certbot
sudo add-apt-repository ppa:certbot/certbot
sudo apt-get install certbot
# Create .well_known directory
cd /var/www/html
mkdir .well_known

We also need to update the superset.conf file in the...

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Apache Superset Quick Start Guide
Published in: Dec 2018Publisher: ISBN-13: 9781788992244

Author (1)

author image
Shashank 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.
Read more about Shashank Shekhar