Also known as

• Map-Reduce
• Divide and Conquer for Data Processing

Intent of Map Reduce Design Pattern

To efficiently process large-scale datasets by dividing computation into two phases: map and reduce, which can be executed in parallel and distributed across multiple nodes.

Also known as

• Master-Slave
• Controller-Worker

Intent of Master-Worker Design Pattern

The Master-Worker design pattern is designed to perform parallel computations by distributing tasks between a master process and multiple worker processes. This pattern enhances concurrency, performance, and scalability in software systems.