The 'Pipe and Filter' architectural pattern involves processing data through a sequence of components, where each component (filter) transforms the data and passes it to the next. This approach enhances modularity, reusability, and scalability by allowing filters to be independently developed and composed in various configurations.

Pipe And Filter

Pipe and Filter

architectural pattern

processing data

sequence of components

Data transformation is the process of converting data from one format or structure into another, making it more suitable for analysis or integration. It is a crucial step in data processing that enhances data quality and accessibility, ensuring that data is consistent, reliable, and ready for downstream applications.

Data Transformation

Enhanced modularity

Reusability refers to the practice of designing software components or systems in a way that they can be used in multiple applications or scenarios without modification. This approach enhances efficiency, reduces development time, and ensures consistency across projects by leveraging existing code or resources.

reusability

Scalability refers to the ability of a system, network, or process to handle a growing amount of work or its potential to accommodate growth. It is a critical factor in ensuring that systems can adapt to increased demands without compromising performance or efficiency.

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