Apache Superset for Data Engineers (Hands On)

Learn everything about Apache Superset a modern, enterprise-ready business intelligence web application.

What you'll learn
Understanding of basic architecture of Apache Superset
Installing and Configuring Apache Superset
Connecting to Database
Install Database Drivers
Access Database table in Apache Superset (MySQL)
Enabling Upload a CSV
Obtaining & loading data
Table Visualization
Creating Chart and Dashboard (30+ Charts)
Frequently asked Questions

Requirements
Basic knowledge of Data Analytics is appreciated but if you don't have any knowledge on Data Analytics its fine.
Description
Apache Superset is a modern data exploration and visualization platform. Apache Superset is a modern, enterprise-ready business intelligence web application. It is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple pie charts to highly detailed geospatial charts.

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Superset! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Superset!

Introduction

Apache Superset

Apache Superset Architecture

Installation

Ubuntu (Linux)

Connecting to Database

Install Database Drivers

Database Connection String

Access Database table in Apache Superset (MySQL)

Enabling Upload a CSV

Obtaining & loading data

Table Visualization

Creating Chart and Dashboard

Line Chart

Bar Chart

Area Chart

Time Series Bar Chart

Pie Chart

And many more charts

Frequently asked Questions

FAQS for Apache Superset

Superset provides

An intuitive interface for visualizing datasets and crafting interactive dashboards

A wide array of beautiful visualizations to showcase your data

Code-free visualization builder to extract and present datasets

A world-class SQL IDE for preparing data for visualization, including a rich metadata browser

A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics

Out-of-the-box support for most SQL-speaking databases

Seamless, in-memory asynchronous caching and queries

An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.

Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)

The ability to add custom visualization plugins

An API for programmatic customization

A cloud-native architecture designed from the ground up for scale

Who this course is for
Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
You should take this course if want to learn Apache Superset completely from scratch