Apache Superset Deployment
Opensource platforms have emerged as a viable alternative to paid analytics platforms. If you are thinking about subscribing to a paid business intelligence platform, think again. In some cases, you would do better to consider one or more of the open-source options available.
There are some benefits of going opensource, the source code is freely available to its users, they can take this source code, modify it, and distribute their own versions of the program.
Why Apache Superset?
I confess that I was a little bit frustrated with some of the paid business intelligence tool; most had great support but lack the ability to customize some of the features.
Apache Superset is a modern, enterprise-ready business intelligence web application. It is fast, lightweight, intuitive, and loaded with many options and it is opensource.
How did I deploy Apache Superset?
It was a challenge. I read the installation documentation but ended up on Google many times trying to figure out each step. It turned out that the best way (for me) to deploy Superset was through Google Cloud Platform
I found two good sources that put on the right path. The first was an article written by JooYoung Lim, Deploy Apache Superset on Google Cloud Platform (GCP) and the Installing Superset – Apache Superset Quick Start Guide published by PacktPub.
I had a few issues Installing packages using pip and virtual environments as Superset runs on Python 3. However, Google search and Youtube save the day I once I installed these environments, it was smooth sailing.