Building Composable Data Pipelines: Mastering the Pipes and Filters Pattern

Pipeline Architecture is a fundamental pattern for handling sequential data processing through independent, reusable components that don't share state. Understanding this pattern is critical for developers building real-world systems—from image processing to ETL workflows—because it enables each filter to be tested, modified, or reordered without affecting others, dramatically improving maintainability and scalability.