Processing Stages

Processing Stages are conceptual or logical components within a Data Processing Pipeline that represent distinct phases of operation. Each stage is responsible for a specific transformation, analysis, validation, or enrichment task applied to the data as it flows through the system. The stages work sequentially or in parallel to convert raw input data into processed, actionable output, ensuring data integrity, quality, and relevance for downstream applications or decision-making.

Data enters the pipeline and is passed through a series of defined Processing Stages. Each stage applies its specific function (e.g., ingestion, cleansing, transformation, aggregation, analysis, output formatting) to the data. The output of one stage typically serves as the input for the next, creating a controlled flow. Stages may be configurable, allowing parameters to adjust their behavior (e.g., filter thresholds, transformation rules, aggregation methods). The principle enables modular, maintainable, and scalable data processing by isolating functional responsibilities.