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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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Author (1)
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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Installing Superset

Let's get started by making a Superset web app server. We will cover security, user roles, and permissions for the web app in the next chapter.

Instead of a local machine, one can also choose to set up Superset in the cloud. This way, we can even share our Superset web app with authenticated users via an internet browser (for example, Firefox or Chrome).

We will be using Google Compute Engine (GCE) for the Superset server. You can use the link https://console.cloud.google.com and set up your account.

After you have set up your account, go to the URL https://console.cloud.google.com/apis/credentials/serviceaccountkey to download a file, `<project_id>.json`. Save this somewhere safe. This is the Google Cloud authorization JSON key file. We will copy the contents of this file to our GCE instance after we launch it. Superset uses the information in this file to authenticate itself to Google BigQuery.

GCE instances are very easy to configure and launch. Anyone with a Google account can use it. After logging in to you Google account, use this URL: https://console.cloud.google.com/compute/instances. Here, launch a g1-small (1 vCPU, 1.7 GB memory) instance with default settings. When we have to set up Superset for a large number of concurrent users (greater than five), we should choose higher compute power instances.

After launching, on the VM instances screen we can see our g1-small GCE instance is up and running:

GCE dashboard on Google Cloud Platform
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Apache Superset Quick Start Guide
Published in: Dec 2018Publisher: ISBN-13: 9781788992244
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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