Data Cleaning Architecture

Pipeline

Data cleaning architecture functions as the essential infrastructure for ingestion, normalization, and validation of high-frequency cryptocurrency order book data. This framework systematically identifies anomalous ticks, corrects timestamp misalignments, and removes duplicate packets that disrupt accurate quantitative model performance. By standardizing disparate exchange feeds, the system ensures that downstream analytical engines operate on a singular, reliable source of truth.