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Apache Superset for Data Engineers (Hands On)

21-03-2022, 05:46, posted by Baturi

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

Homepage

https://www.udemy.com/course/apache-superset-for-data-engineers-hands-on

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