Apache Superset Deep Dive: Building Powerful and Scalable Dashboards

From Data to Insights: Mastering SQL, Visualization, and Collaboration

Duration

4 Days (8 hours per day)

Level

Intermediate Level

Design and Tailor this course

As per your team needs

Edit Content

This course equips you with the skills to leverage Apache Superset, an open-source business intelligence (BI) platform, for data exploration and visualization. Through a blend of lectures, demonstrations, and hands-on labs, you’ll gain expertise in creating interactive dashboards, crafting compelling visualizations, and effectively communicating insights from your data.



Edit Content
  • Data analysts seeking powerful tools for data exploration
  • Business intelligence professionals looking to build interactive dashboards
  • Developers interested in integrating data visualization into applications
Edit Content
  • Introduction to Business Intelligence (BI) and Data Visualization
  • Unveiling Apache Superset: Features and Benefits
  • Comparing Superset with other BI tools
  • Exploring Superset’s User Interface and Navigation
  • Connecting Superset to Various Databases (SQLAlchemy)
  • Writing SQL Queries within Superset’s SQL Lab
  • Leveraging the Metadata Explorer for Efficient Data Discovery
  • Working with Filters and Time Series Analysis
  • Creating Dashboards and Layouts
  • Exploring a Wide Range of Visualization Options (Charts, Maps, etc.)
  • Customizing Visualizations with Chart Editor and Formatting Options
  • Designing Interactive Dashboards with Filters and Drill-Downs
  • Sharing Dashboards with Team Members and Stakeholders
  • Configuring User Roles and Permissions
  • Embedding Dashboards in Applications and Websites
  • Exploring Collaborative Features for Team-based Data Analysis
  • Working with the Semantic Layer: Defining Custom Metrics and Dimensions
  • Utilizing SQL Templates and Jinja for Dynamic Dashboards
  • Scheduling Automated Data Refreshes and Alerts
  • Integrating Superset with External Data Sources (e.g., CSV files)
  • Implementing User Authentication and Authorization in Superset
  • Scaling Superset for Performance in Production Environments
  • Best Practices for Deploying and Managing Superset
  • Building a Sample Dashboard for Sales Analysis
  • Creating Interactive Dashboards for Marketing Campaigns
  • Exploring Superset for Financial Data Visualization
  • (Optional) Integrating Superset with Data Pipelines and Stream Processing
  • Customizing Superset with Plugins and Extensions
  • Building Custom UIs with Superset’s Javascript API
  • Contributing to the Apache Superset Project
Edit Content
  • Basic understanding of SQL concepts
  • Familiarity with data analysis principles

Connect

we'd love to have your feedback on your experience so far