MapReduce Architecture: Distributed Big Data Processing
In this video, we dive into the fundamentals of the MapReduce framework, using the classic word count example as a guide. We break down the entire process, from input to output, explaining how data is processed through the Mapper, Shuffler, and Reducer phases.
