Course Outline
Introduction
Installing and Configuring Cloud-Native Apache Superset
- Using Docker to initialize development environment
- Using Python's setup tools and pip
Overview of Basic Features and Architecture of Apache Superset
- Rich visualizations
- Easy-to-navigate user interface
- Integration with most databases
Connecting Data to Apache Superset
- Configuring data input
- Improving the input process
Conducting Advanced Data Analytics
- Getting a rolling average of the time series
- Working with Time Comparison
- Resampling the data using various methods
- Scheduling queries in SQL Lab
Performing Advanced Visualization
- Creating a Pivot Table
- Exploring different visualization types
- Building a visualization plugin
Creating and Sharing Dynamic Dashboards
- Adding Annotations to Your Chart
- Using REST API
Integrating Apache Superset with Databases
- Apache Druid
- BigQuery
- SQL Server
Managing Security in Apache Superset
- Understanding provided roles and creating new roles
- Customizing permissions
Troubleshooting
Summary and Conclusion
Requirements
- Experience with business intelligence and data visualization
- Familiar with Apache Superset fundamentals
Audience
- Data analysts
- Data scientists
- Data engineers
Testimonials (2)
Gunnar was a great trainer. He pitched the training at the right level given the varying levels of experience and expertise of the attendees. He was very personable and injected as much as excitement and humour as he could across the 2 days. He made sure that we were engaged throughout and tried to ensure that all our questions were answered in an open and honest manner.
Seaman - PowerX Technology Ltd
Course - Getting Started with Apache Superset
The trainer was knowledgeable and interacted well with the participants.
