Big data architecture patterns

In this section, we will take you through big data design patterns, based on the following big data architectural patterns, and give a brief overview of the big data architectural patterns.

MapReduce pattern

MapReduce is a software framework implementation that processes and generates big datasets by applying parallel and distributed algorithms on a cluster infrastructure.

The primary methods of MapReduce are as follows:

• Map: Responsible for filtering and sorting
• Reduce: Responsible for operations (for example, counting the number of records)

Lambda architecture pattern

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