Apache Superset in the Production Environment
Visualizing data helps in building a much deeper understanding of the data and quickens analytics around the data. There are several mature paid products available on the market. Recently, I explored an open source product name Apache Superset which I found a very upbeat product in this space. Some prominent features of Superset are: A rich set of data visualizations. An easy-to-use interface for exploring and visualizing data. Create and share dashboards. After reading about Superset, I wanted to try it, and as Superset is a Python programming language-based project we can easily install it using pip; but I decided to set it up as a container based on Docker. The Apache Superset GitHub Repo contains code for building and running Superset as a container. Since I want to run Superset in a completely distributed manner and with as little modification as possible in the code, I decided to modify the code so that it could run in multiple different modes. Below is a list of sp...