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  • Book Overview & Buying Apache Superset Quick Start Guide
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Apache Superset Quick Start Guide

Apache Superset Quick Start Guide

By : Shekhar
3.5 (2)
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Apache Superset Quick Start Guide

Apache Superset Quick Start Guide

3.5 (2)
By: 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)
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Path

Routes are often found in location datasets to represent road or rail networks. We can plot those types of datasets using the Path visualization option. After uploading the rail routes dataset, either by downloading from the GitHub directory or creating it using the Jupyter Notebook, open it for visualization purposes:

CSV to Database configuration

If you take a look at the Jupyter Notebook, you will find that we create a feature named Polyline. It uses geometry information given in the file. Polylines are an encoded representation of latitudes and longitudes, as follows:

Encoded representation of latitudes and longitudes

The dataset represents rail routes over which crude oil is transported. It might be helpful to locate it on map tiles made of satellite imagery, because we can then see terrain information pertaining to the rail routes.

The bearing value in the Viewport...

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