___ is ___.
This instructor-led, live training (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level ___ who wish to use ___ to ___.
By the end of this training, participants will be able to:
- Install and configure ___.
- ___.
- ___.
- ___.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Introduction
Installation and Configuring
• Installing on Kubernetes and Installing from PyPI
• Deploy in production server using Apache or nginx
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
Managing Security in Apache Superset
• Understanding provided roles and creating new roles
• Customizing permissions
Additional topics:
1. Customizing or adding map (deck.gl polygon)
2. How to use chart: advance javascript feature
3. Reverse proxy using apache (SSL)(from scratch and docker)
Troubleshooting
Summary and Conclusion