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Course Outline
- Introduction
- Setting up Apache Superset
- Overview of Apache Superset Features and Architecture
- Connecting Your Own Data Sources
- Exploring and Visualizing Data
- Building Your Own Dashboards and Creating Reports
- Integrating Apache Superset with SQL Databases
- 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
Requirements
N/A
35 Hours
