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.