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Course Outline
- Introduction
- Initializing Apache Superset
- Snapshot of Apache Superset Features and Architecture
- Linking Custom Data Sources
- Data Exploration and Visualization Techniques
- Constructing Custom Dashboards and Generating Reports
- Connecting Apache Superset to SQL Databases
- Deploying and Configuring Cloud-Native Apache Superset
- Setting up the development environment with Docker
- Leveraging Python setup utilities and pip
- Foundational Features and Architecture of Apache Superset
- Comprehensive visualization options
- User-friendly navigation interface
- Broad database integration capabilities
- Establishing Data Connections to Apache Superset
- Setup of data ingestion
- Optimization of the input workflow
- Executing Advanced Data Analytics
- Calculating rolling averages for time series
- Utilizing Time Comparison features
- Applying various resampling methods to data
- Scheduling queries within SQL Lab
- Implementing Advanced Visualization
- Developing Pivot Tables
- Examining diverse visualization types
- Creating custom visualization plugins
- Building and Distributing Dynamic Dashboards
- Incorporating Annotations into Charts
- Utilizing the REST API
- Integrating Apache Superset with Databases
- Apache Druid
- BigQuery
- SQL Server
- Administering Security in Apache Superset
- Interpreting existing roles and defining new ones
- Tailoring permission settings
- Troubleshooting
Requirements
- Fundamental understanding of SQL and database management.
- No previous experience with Apache Superset is necessary.
35 Hours
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.
