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MODULE 03 // DATA STREAM INTEGRATION

DATA STREAM INTEGRATION

Connect application data streams to ABIS for real-time behavioral analysis

7 Modules
5 Hours
Foundation Level
01
Data Streams

Stream Fundamentals

Data streams are continuous flows of events. Understanding stream types and protocols is the foundation for connecting your application to ABIS behavioral analysis.

Topics Covered
  • Event streams vs batch processing
  • WebSocket connections
  • Server-Sent Events (SSE)
  • HTTP long polling patterns
  • Stream protocol selection
35 min
Start →
02
Event Design

Event Architecture

Well-designed events carry the right context for behavioral analysis. Learn to structure events that maximize ABIS intelligence while minimizing payload overhead.

Topics Covered
  • Event schema design
  • Payload optimization
  • Context enrichment
  • Event versioning
  • Backward compatibility
40 min
Start →
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.

Topics Covered
  • Pipeline architecture patterns
  • Event ordering guarantees
  • Backpressure handling
  • Fan-out distribution
  • Pipeline monitoring
50 min
Start →
04
Processing Patterns

Stream Processing

Raw events need processing before ABIS analysis. Apply transformations, aggregations, and enrichments that optimize behavioral intelligence.

Topics Covered
  • Stream transformation patterns
  • Windowing strategies
  • Aggregation techniques
  • Stateful processing
  • Late event handling
45 min
Start →
05
Transform Layer

Data Transformation

ABIS expects specific data formats. Build transformation layers that normalize diverse event sources into consistent behavioral signals.

Topics Covered
  • Schema mapping strategies
  • Field normalization
  • Type coercion rules
  • Null handling patterns
  • Transformation testing
40 min
Start →
06
Resilience Patterns

Error Recovery

Streams fail. Networks drop. Services timeout. Build error handling that maintains data integrity and ensures no behavioral events are lost.

Topics Covered
  • Dead letter queues
  • Retry strategies
  • Idempotency patterns
  • Exactly-once semantics
  • Recovery procedures
45 min
Start →
07
Optimization

Performance Tuning

High-volume streams demand optimized performance. Learn techniques to maximize throughput while minimizing latency and resource consumption.

Topics Covered
  • Batching strategies
  • Compression techniques
  • Connection pooling
  • Memory management
  • Throughput optimization
45 min
Start →

Course Overview

This course teaches you how to connect your application's data streams to ABIS for real-time behavioral analysis. You'll learn to design event architectures, build resilient pipelines, and optimize performance for high-throughput scenarios.

What You'll Learn

  • Stream protocols and connection patterns
  • Event schema design for behavioral analysis
  • Real-time pipeline architecture
  • Error handling and recovery patterns
  • Performance optimization techniques

Prerequisites

  • Understanding of event-driven architecture
  • Familiarity with WebSockets or SSE
  • Basic knowledge of message queues
  • Completed ABIS API Fundamentals course