Map Reduce Paradigm & Programming Model |Cloud Computing |SNS Institutions
Автор: Mohan Subramaniam
Загружено: 2025-11-19
Просмотров: 115
Описание: #snsinstitutions #snsdesignthinkers #designthinkers MapReduce is a powerful programming model used to process and analyze large data sets across distributed systems. It works by dividing a task into two main stages: Map and Reduce. In the Map phase, the input data is broken into small parts and processed in parallel to generate key-value pairs. In the Reduce phase, all values with the same key are grouped and combined to produce the final result. This approach allows massive data processing with high speed, scalability, and fault tolerance. MapReduce is widely used in Hadoop for tasks such as log analysis, word counting, indexing, and data mining.
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