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Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards

Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards

Shashank Shekhar

E-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.
  • 1. Getting Started with Data Exploration
  • 2. Configuring Superset and Using SQL Lab
  • 3. User Authentication and Permissions
  • 4. Visualizing Data in a Column
  • 5. Comparing Feature Values
  • 6. Drawing Connections between Entity Columns
  • 7. Mapping Data That Has Location Information
  • 8. Building Dashboards
  • Titel: Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
  • Autor: Shashank Shekhar
  • Originaler Titel: Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
  • ISBN: 9781788999564, 9781788999564
  • Veröffentlichungsdatum: 2018-12-19
  • Format: E-book
  • Artikelkennung: e_15dt
  • Verleger: Packt Publishing