The Challenge
Granicus (14 acquisitions, 5 countries) struggled with fragmented government data across 14+ sources: Salesforce CRM, EHQ MySQL, Matomo streams, GovD Oracle, Open Cities scraping, and more. Needed unified citizen analytics with regulatory compliance.

Technical Solution
🧠 Nessie Catalog + Generative AI
Iceberg metadata format with AWS S3 auto-reflections
OpenSearch knowledge base for context-aware AI responses

⚡ Advanced Semantic Layers
Complex multi-domain models with automated reflection optimization
Query times: minutes → milliseconds through intelligent materialization

🗣️ Dremio MCP NLP-to-SQL
"Show housing meetings with >100 attendees last quarter" → Instant SQL
Government-trained language models with optimal query generation

📊 Dashboard Architecture
Highcharts integration via Dremio REST APIs
Intelligent caching for sub-second UI responses
Real-time citizen engagement metrics

🔄 Zero-Copy Pipeline
Staging → Business → Application layers (DBT + Iceberg)
14+ sources unified without data movement

Live Demos:
NLP query: "Find legislation about housing with citizen feedback >8"
Real-time reflections optimization
Highcharts dashboard with live government KPIs
REST API caching performance comparison

Results:
95% faster time-to-insight
60% cost reduction through reflections
300% increase in self-service adoption

Takeaways:
Nessie + Iceberg configuration guide
NLP-to-SQL with Dremio MCPs
Highcharts-REST API integration patterns
Reflections optimization playbook

Experience instant citizen insights through plain English queries powered by Dremio's zero-copy architecture and intelligent semantic optimization.