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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
14 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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