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Updated in [October 07th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
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 chartsOne 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 ArchitectureInstallation 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 VisualizationCreating Chart and Dashboard Line Chart Bar Chart Area Chart Time Series Bar Chart Pie Chart And many more chartsFrequently asked Questions FAQS for Apache SupersetSuperset provides:An intuitive interface for visualizing datasets and crafting interactive dashboardsA wide array of beautiful visualizations to showcase your dataCode-free visualization builder to extract and present datasetsA world-class SQL IDE for preparing data for visualization including a rich metadata browserA lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metricsOut-of-the-box support for most SQL-speaking databasesSeamless in-memory asynchronous caching and queriesAn extensible security model that allows configuration of very intricate rules on who can access which product features and datasetsIntegration with major authentication backends (database OpenID LDAP OAuth REMOTE_USER etc)The ability to add custom visualization pluginsAn API for programmatic customizationA cloud-native architecture designed from the ground up for scale

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?
During this course on Apache Superset for Data Engineers, learners will acquire the following skills and knowledge:
1. Understanding of Apache Superset: Learners will gain a comprehensive understanding of Apache Superset, its features, and its role as a modern data exploration and visualization platform.
2. Installation and Configuration: Learners will learn how to install and configure Apache Superset on Ubuntu (Linux) systems. They will also learn how to connect to databases and access database tables within Apache Superset, specifically focusing on MySQL.
3. Data Visualization: Learners will acquire the skills to create various types of charts and dashboards using Apache Superset. This includes line charts, bar charts, area charts, time series charts, pie charts, and many more.
4. Data Preparation: Learners will explore the SQL IDE provided by Apache Superset, which allows them to prepare data for visualization. They will also learn how to use the rich metadata browser and define custom dimensions and metrics.
5. Integration and Security: Learners will understand how to integrate Apache Superset with different authentication backends, such as databases, OpenID, LDAP, OAuth, and REMOTE_USER. They will also learn about the extensible security model and how to configure access rules for product features and datasets.
6. Customization and API: Learners will gain knowledge on how to add custom visualization plugins to Apache Superset. They will also learn about the API provided by Apache Superset for programmatic customization.
7. Scalability: Learners will understand the cloud-native architecture of Apache Superset, designed for scalability. They will learn about seamless in-memory asynchronous caching and queries, which enhance performance.
Who will benefit from this course?
Data engineers will benefit from this course on Apache Superset. Apache Superset is a modern data exploration and visualization platform that is widely used by top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, and NASA. Data engineers, who are responsible for managing and analyzing large datasets, will find this course valuable as it focuses on one of the best technologies for analyzing huge data sets.
The course covers various topics such as the introduction to Apache Superset, its architecture, installation on Ubuntu (Linux), connecting to databases, accessing database tables, enabling CSV uploads, obtaining and loading data, and creating various types of charts and dashboards. Data engineers will learn how to use Apache Superset's intuitive interface to visualize datasets, build interactive dashboards, and showcase their data using beautiful visualizations. They will also learn how to prepare data for visualization using the SQL IDE and define custom dimensions and metrics using the lightweight semantic layer.
Additionally, the course covers features such as seamless in-memory asynchronous caching and queries, an extensible security model for controlling access to product features and datasets, integration with major authentication backends, the ability to add custom visualization plugins, and an API for programmatic customization. These features make Apache Superset a powerful tool for data engineers to efficiently analyze and visualize data.

Course Syllabus

Introduction

Installation and Configuration

Connecting to Databases

Creating Charts and Dashboards

HR Analytics Dashboard Project

Olympic Analytics Dashboard Project

Frequently Asked Questions