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

    Posted By: AlenMiler
    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 by Shashank Shekhar
    English | December 19, 2018 | ASIN: B07M8QLR8P | 188 pages | AZW3 | 10 MB

    Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards.

    Key Features
    Work with Apache Superset's rich set of data visualizations
    Create interactive dashboards and data storytelling
    Easily explore data
    Book Description
    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.

    What you will learn
    Get to grips with the fundamentals of data exploration using Superset
    Set up a working instance of Superset on cloud services like Google Compute Engine
    Integrate Superset with SQL databases
    Build dashboards with Superset
    Calculate statistics in Superset for numerical, categorical, or text data
    Understand visualization techniques, filtering, and grouping by aggregation
    Manage user roles and permissions in Superset
    Work with SQL Lab
    Who this book is for
    This book is for data analysts, BI professionals, and developers who want to learn Apache Superset. If you want to create interactive dashboards from SQL databases, this book is what you need. Working knowledge of Python will be an advantage but not necessary to understand this book.

    Table of Contents
    Getting Started with Data Exploration
    Configuring Superset and Using SQL Lab
    User Authentication and Permissions
    Visualizing Data in a Column
    Comparing Feature Values
    Drawing Connections between Entity Columns
    Mapping Data That Has Location Information
    Building Dashboards