About This Architecture

Multi-input dependent variable computation flow ingests three independent variables—c.pr, tm pro, and Hr—through parallel input streams into a unified validation stage. All inputs are collected, validated, and passed to a transformation process that applies a mathematical function to compute the dependent variable aa. This architecture demonstrates best practices for handling multi-source data dependencies, ensuring data quality before computation, and maintaining clear separation between input validation and business logic. Fork this diagram on Diagrams.so to customize variable names, add error handling branches, or integrate with your ETL framework.

People also ask

How do you design a data pipeline that collects multiple independent variables, validates them, and computes a dependent variable?

This diagram shows a standard ETL pattern: parallel input streams for independent variables (c.pr, tm pro, Hr) converge into a validation stage, then flow through a transformation process that applies a mathematical function to compute the dependent variable aa. This ensures data quality before computation and maintains clear separation of concerns.