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 Duration 35 hours

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
    • Utilizing Docker to establish the development environment
    • Leveraging Python's setup tools and pip
  • Overview of Basic Features and Architecture of Apache Superset
    • Rich visualization capabilities
    • Intuitive and easy-to-navigate user interface
    • Broad integration support for major databases
  • Connecting Data to Apache Superset
    • Configuring data input mechanisms
    • Optimizing the data ingestion process
  • Conducting Advanced Data Analytics
    • Calculating rolling averages for time series data
    • Utilizing time comparison features
    • Resampling data through various methodologies
    • Scheduling automated queries in SQL Lab
  • Performing Advanced Visualization
    • Constructing Pivot Tables
    • Investigating diverse visualization types
    • Developing custom visualization plugins
  • Creating and Sharing Dynamic Dashboards
    • Enhancing charts with annotations
    • Implementing REST API interactions
  • Integrating Apache Superset with Databases
    • Apache Druid
    • BigQuery
    • SQL Server
  • Managing Security in Apache Superset
    • Reviewing built-in roles and defining new ones
    • Tailoring user permissions
  • Troubleshooting

Requirements

  • Familiarity with basic SQL principles and database concepts.
  • No previous experience with Apache Superset is necessary to begin.

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