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Concept
Map-Reduce
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Summary
Map-Reduce is a
Programming Model
used for processing and
Generating large data sets
with a parallel,
Distributed algorithm
on a cluster. It simplifies
Data Processing
by dividing the task into two distinct phases: 'Map', which processes and filters data, and 'Reduce', which aggregates the results.
Concepts
Distributed Computing
Parallel Processing
Data Partitioning
Fault Tolerance
Scalability
Load Balancing
Data Aggregation
Functional Programming
Apply Method
Stream Pipelining
Relevant Degrees
Software Engineering and Development 50%
Data Management and Processing 30%
Computer Networks and Communication 20%
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