# Data Engineering & Real-Time Dashboards — Pipelines & BI Cockpits

> High-velocity data processing pipelines and connected executive cockpits designed to inform high-stakes corporate decisions with verified data.

### Métriques Clés
- **Ingestion Volume**: 10M+ ev/day (Real-time event pipelines)
- **Data Freshness**: < 2 sec (Sensor to executive cockpit)
- **Data Quality**: 99.98% (Strict schema validation)

### Piliers Techniques
- **High-Velocity Streaming Pipelines**: Massive dataset ingestion, normalization, and enrichment executed within microsecond windows.
- **Executive Decision Cockpits**: Intuitive visualizations and anomaly alerts tailored to executive leadership requirements.
- **Data Governance & Provenance**: Automated data cataloging, lineage tracking, and schema validation ensuring absolute report integrity.

### Spécifications d'Ingénierie
- **Architecture Pattern**: Modern Lakehouse architecture combining distributed object storage and in-memory analytical compute
- **Throughput & Latency**: Analytical compute up to 500 MB/s per cluster node with pre-aggregated analytical caches
- **Security & Cryptography**: Dynamic data masking for sensitive fields, column-level encryption, and tamper-evident access logging
- **Standards & Compliance**: Compliant with enterprise data retention statutes and international IFRS audit frameworks
- **Deployment Models**: Elastic Kubernetes deployments with dynamic autoscaling based on compute demand
- **Protocols & Interfaces**: Native SQL interfaces, GraphQL gateway APIs for web visualization, and distributed Kafka streams