👉 Pipe computing is a software development paradigm that facilitates the creation of modular, reusable, and loosely coupled data processing pipelines. It involves breaking down complex data processing tasks into a series of smaller, independent functions or "steps" that can be chained together in a specific order to perform the desired computation. Each step in the pipeline typically takes input from the previous step, processes it, and produces output that serves as input for the next step. This modular approach enables developers to easily swap out or update individual components without affecting the entire system, promoting scalability, maintainability, and efficient resource utilization. Pipe computing frameworks, such as Apache Beam and Dataflow, provide abstractions and tools to define, optimize, and execute these pipelines, making it easier for developers to build robust and flexible data processing systems.
