Summary

To successfully migrate existing Tableau dashboards to Apache Superset, ensuring seamless functionality, performance optimization, and enhanced user experience. This migration aims to leverage the open-source capabilities of Superset, providing a cost-effective and flexible solution for data visualization and reporting.

Project Scope

1. Dashboard Analysis:
• Conduct a comprehensive analysis of existing Tableau dashboards to understand:
• Underlying data sources and connections
• Data models, calculated fields, and transformations
• Visualization types and their specific configurations
• User requirements and preferences
2. Superset Configuration:
• Set up and configure the Superset environment, including:
• Database connections (PostgreSQL, MySQL, MS SQL Server, or YugabyteDB)
• User roles and permissions
• Data sources and connections
• Data quality checks and validation
3. Dashboard Recreation:
• Replicate Tableau dashboards in Superset, ensuring:
• Accurate data visualization and formatting
• Consistent functionality and interactivity
• Preservation of key performance indicators (KPIs) and metrics
• Optimization of query performance for large datasets
4. Performance Optimization:
• Analyze and optimize SQL queries to improve dashboard loading times and responsiveness.
• Implement caching strategies to reduce query execution time.
• Explore indexing and partitioning techniques to enhance database performance.
5. User Training and Adoption:
• Provide comprehensive training to end-users on:
• Superset interface and navigation
• Dashboard creation and editing
• Data exploration and analysis
• Report generation and scheduling