Sunbird cQube
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Design Principles

  • Low Tech/Minimal Coding: Leverage existing tools and provide configuration options to minimize the need for coding.
  • API First: Design APIs for all functionality and blocks to enable independent evolution and integration.
  • Progressive Enhancement: Allow for module changes and tiered improvements in the user experience.
  • Modularity: Design modular blocks that can be selected and integrated based on specific needs.
  • Integrations: Enable integration of higher-order capabilities through clear boundaries and APIs.
  • Ease of Deployment/Management: Provide easy deployment options and support on commodity hardware or cloud platforms.
  • Scalable:
    • Ingestion: Design scalable ingestion processes for real-time data updates.
    • SLA Driven: Strive for a 30-minute SLA between data ingestion and insight generation.
  • Performance: Prioritize stable performance within specified hardware limitations.
  • Data Privacy: Store only aggregated data and insights, ensuring no personally identifiable information is stored.
  • Accessibility: Ensure accessibility on mobile and desktop devices.
  • Data Security: Implement specific measures to safeguard data (further details required).
These design considerations aim to create a configurable, scalable, and user-friendly solution for effective data-driven governance in the education sector.
The detailed design principles of cQube, according to the architecture, can be found here.