Get in Touch

Course Outline

  • Introduction
  • Setting up Apache Superset
  • Understanding Apache Superset’s Features and Architecture
  • Linking Custom Data Sources
  • Data Exploration and Visualization Techniques
  • Constructing Custom Dashboards and Generating Reports
  • Apache Superset Integration with SQL Databases
  • Deployment and Configuration of Cloud-Native Apache Superset
    • Initializing the development environment using Docker
    • Leveraging Python setup tools and pip
  • Core Features and Architectural Overview of Apache Superset
    • Rich and diverse visualization options
    • An intuitive and navigable user interface
    • Broad compatibility with major databases
  • Data Connectivity in Apache Superset
    • Setting up data input configurations
    • Optimizing the data ingestion process
  • Advanced Data Analytics Practices
    • Calculating rolling averages for time series data
    • Utilizing time comparison features
    • Applying various methods for data resampling
    • Scheduling queries via SQL Lab
  • Advanced Visualization Strategies
    • Constructing Pivot Tables
    • Investigating diverse visualization styles
    • Developing custom visualization plugins
  • Dynamic Dashboard Creation and Sharing
    • Incorporating annotations into charts
    • Utilizing the REST API
  • Database Integration with Apache Superset
    • Apache Druid
    • BigQuery
    • SQL Server
  • Security Management in Apache Superset
    • Reviewing existing roles and defining new ones
    • Customizing access permissions
  • Troubleshooting and Resolution

Requirements

  • Familiarity with basic SQL concepts and database structures.
  • No previous experience with Apache Superset is necessary.
 35 Hours

Testimonials (2)

Upcoming Courses

Related Categories