4.2 Data Pipeline Orchestration

A distributed data ingestion pipeline, constructed atop high-throughput message queues (e.g., Apache Kafka, RabbitMQ), facilitates reliable, scalable collection and dispatch of incoming data packets to processing microservices.

Key features include:

• Schema Validation Engines: Enforce JSON/CSV schema conformity, ensuring syntactic and semantic correctness.

• Time Synchronization Modules: Apply vector clock algorithms to synchronize event timestamps across asynchronous sources.

• Anomaly Pre-Filters: Execute preliminary statistical outlier rejection based on Z-score and IQR metrics, reducing computational overhead for the anomaly detection core.