Book Image

Apache Superset Quick Start Guide

By : Shashank Shekhar
Book Image

Apache Superset Quick Start Guide

By: Shashank Shekhar

Overview of this book

Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers.
Table of Contents (10 chapters)

Uploading a CSV

In many types of analytical work, data is available in CSV or Excel files and not in a database. You can use the Upload a CSV feature to upload CSVs as tables in Superset, without parent database integration.

We will get some real data to test this. Let's download the Ethereum transaction history from http://etherscan.io and create a new table:

curl https://etherscan.io/chart/tx?output=csv > /tmp/eth_txn.csv
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 35279 0 35279 0 0 98k 0 --:--:-- --:--:-- --:--:-- 98k

# create a sqlite database to store the csv
cd ~/.superset
# this will create a sqlite database, quit after it opens the console
sqlite3 upload_csv.db
Edit Database details form

Once you have created the upload_csv database integration, make sure you select it when you are uploading the .csv file, as shown in the following screenshot:

Load CSV form