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Apache Superset Quick Start Guide电子书

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30人正在读 | 0人评论 6.2

作       者:Shashank Shekhar

出  版  社:Packt Publishing

出版时间:2018-12-19

字       数:12.0万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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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.
目录展开

Title Page

Copyright and Credits

Apache Superset Quick Start Guide

About Packt

Why subscribe?

Packt.com

Foreword

Contributors

About the author

About the reviewer

Packt is searching for authors like you

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Conventions used

Get in touch

Reviews

Getting Started with Data Exploration

Datasets

Installing Superset

Sharing Superset

Configuring Superset

Adding a database

Adding a table

Creating a visualization

Uploading a CSV

Configuring the table schema

Customizing the visualization

Making a dashboard

Summary

Configuring Superset and Using SQL Lab

Setting the web server

Creating the metadata database

Migrating data from SQLite to PostgreSQL

Web server

Gunicorn

Setting up an NGINX reverse proxy

Setting up HTTPS or SSL certification

Flask-AppBuilder permissions

Securing session data

Caching queries

Mapbox access token

Long-running queries

Main configuration file

SQL Lab

Summary

User Authentication and Permissions

Security features

Setting up OAuth Google sign-in

List Users page

List Base Permissions page

Views/Menus page

List Permissions on Views/Menus pages

Alpha and gamma – building blocks for custom roles

Alpha

Gamma

Public

User Statistics page

Action log

Summary

Visualizing Data in a Column

Dataset

Distribution – histogram

Comparison – relationship between feature values

Comparison – box plots for groups of feature values

Comparison – side-by-side visualization of two feature values

Summary statistics – headline

Summary

Comparing Feature Values

Dataset

Comparing multiple time series

Comparing two time series

Identifying differences in trends for two feature values

Summary

Drawing Connections between Entity Columns

Datasets

Directed force networks

Chord diagrams

Sunburst chart

Sankey's diagram

Partitioning

Summary

Mapping Data That Has Location Information

Data

Scatter point

Scatter grid

Arcs

Path

Summary

Building Dashboards

Charts

Getting started with Superset

Visualizing data in a column

Comparing feature values

Drawing connections between entity columns

Mapping data that has location information

Dashboards

Making a dashboard

Selecting charts

Separating charts into tabs

Headlining sections using titles

Inserting markdown

Organizing charts in the dashboard layout

Separating sections using dividers

Summary

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