MODULE 03 // DATA STREAM INTEGRATION
MODULE 03 // PIPELINE DESIGN

Real-Time Pipelines.

Data pipelines connect event sources to ABIS. Build pipelines that handle high throughput, maintain order, and recover gracefully from failures.

PIPELINE ARCHITECTURE

A data pipeline connects event sources (browsers, mobile apps, IoT devices) to ABIS. The pipeline must handle variable throughput, maintain event order within sessions, buffer during ABIS unavailability, and provide observability into data flow.

The recommended architecture: Event Source → Local Buffer → Edge Aggregator → Transport Layer → ABIS Ingestion. Each stage adds resilience: local buffers handle network blips, edge aggregators reduce connection overhead, and the transport layer provides delivery guarantees.

Critical consideration: event ordering. ABIS behavioral analysis depends on temporal sequence—a click before a navigation means something different than a click after. Use session-based partitioning to ensure events from the same session are processed in order, even under high load.

EVENT SOURCE
Browser/mobile app captures user interactions. Events are timestamped and assigned UUIDs at creation time.
LOCAL BUFFER
In-memory queue (IndexedDB for persistence). Handles network interruptions, batches events for efficient transmission.
EDGE AGGREGATOR
Optional: Aggregates events from multiple sources before ABIS transmission. Reduces connection overhead for high-volume scenarios.
▸ TRANSPORT LAYER ◂
WebSocket, SSE, or HTTP. Handles connection management, retries, and backpressure. This is your ABIS integration point.
ABIS INGESTION
ABIS receives events, validates schema, and routes to behavioral analysis engine. Returns acknowledgment or risk assessment.
KNOWLEDGE CHECK // Q03
Why is session-based partitioning important for event ordering in behavioral analysis pipelines?
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