Updated on Jun, 2025
Language - English
good course
Apache Superset for Data Engineers (Hands-On)
Learn to install & configure Apache Superset, connect to databases, create visualizations build dashboards.
Development ,Database and Design Development,Apache Spark
Lectures -144
Resources -19
Duration -8.5 hours
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Course Description
Apache Superset for Data Engineers course is designed for data engineers who want to learn how to use Apache Superset to explore and visualize data. This course is for you if want to learn Apache Superset from scratch.
Apache Superset for Data Engineers (Hands-On) Overview
Apache Superset is a modern data exploration and visualization platform. 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.
This course will teach you how to use Apache Superset to explore and visualize data. The course is for aspiring or current Business analysts, BI Developers, Big Data Engineers, Data Engineers, Data Analysts, Data Scientists, and Machine Learning Engineers.
Goals
Understanding of the 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.
Prerequisites
- Basic knowledge of Data Analytics is an added advantage.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
7 Lectures
-
Introduction to Course
05:39
05:39
-
What is Apache Superset?
02:51
02:51
-
Business Intelligence
00:38
00:38
-
Key Features and Use Cases
06:07
06:07
-
Apache Superset vs. Other BI Tools (Power BI, Tableau, Looker)
08:12
08:12
-
Overview of Apache Superset Architecture
02:19
02:19
-
Understanding the Apache Superset Architecture
10:12
10:12
Installation and Configuration
11 Lectures
Connecting to Databases
12 Lectures
Creating Charts and Dashboards
62 Lectures
HR Analytics Dashboard Project
21 Lectures
Olympic Analytics Dashboard Project
19 Lectures
Frequently Asked Questions
12 Lectures
Instructor Details
Bigdata Engineer
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
Responsibilities includes,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyse and Define pros and cons of various technologies and platforms
- Define use cases, solutions and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
I am sure the knowledge in these courses can give you extra power to win in life.
All the best!!
Course Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
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Feedbacks
Thank you
very basic but good to start. Good job to instructor
so far so good
Manimaran Tannimalai
Apache Superset for Data Engineers provides adequate information to start work, especially for the technology layer and adequate for the functional layer. On the technology side, it is good for setting up VM on Linux and installing Superset. The next important work that it covers is connecting wi
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