Stage 3 of 6
Transformation & Processing
Raw events are deduplicated, stitched to an identity, sessionized, and modeled — in real time for immediate use, and in batch for deeper aggregation.
⚡ Stream Processing
Real-time — Bytewax / Quix Streams
- Event Deduplication
- Sessionization
- Identity Resolution (Stitching)
- Data Quality Checks
- Real-time Enrichment
- Derived Event Generation
📋 Batch Processing
Near-Real-time — Spark / Python Jobs
- Rollups & Aggregations
- Data Modeling
- Backfills
- Machine Learning Feature Prep
📜 Event Schema & Registry
- Schema Management
- Versioning
- Compatibility
- Governance Rules
Real World Example
Events are deduplicated, stitched to a single customer profile, sessions are built, and purchase events update lifetime value in real-time. Nightly jobs aggregate data for faster analytics.