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

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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.

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Data analysts seeking powerful tools for data exploration
Business intelligence professionals looking to build interactive dashboards
Developers interested in integrating data visualization into applications

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Introduction to Apache Superset

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

Data Connectivity and Exploration

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

Building Interactive Dashboards

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 and Collaboration

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

Advanced Superset Techniques

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)

Security and Scalability

Implementing User Authentication and Authorization in Superset
Scaling Superset for Performance in Production Environments
Best Practices for Deploying and Managing Superset

Real-World Projects and Use Cases

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

(Optional) Advanced Topics

Customizing Superset with Plugins and Extensions
Building Custom UIs with Superset’s Javascript API
Contributing to the Apache Superset Project

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Basic understanding of SQL concepts
Familiarity with data analysis principles

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Apache Superset Deep Dive: Building Powerful and Scalable Dashboards

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