Distributed MapReduce Framework for Large Dataset Processing
Regent Digitech Private LimitedBig Data EngineeringProject Objectives:
Develop a simplified distributed MapReduce framework that processes large datasets across multiple worker nodes by dividing tasks into map and reduce phases, improving computational efficiency and scalability.
Project Tasks:
Study MapReduce architecture.
Design master-worker coordination model.
Implement data partitioning logic.
Develop map function execution.
Implement reduce aggregation phase.
Handle worker node failures.
Add intermediate data storage mechanism.
Measure processing time.
Deploy across multiple machines.
Simulate big data processing.
Optimize task distribution.
Implement logging system.
Compare performance with single-node execution.
Document findings and analysis.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Strong ProgrammingUnderstanding Of Distributed System ArchitectureKnowledge Of Parallel Computing ConceptsFamiliarity With Big Data Tools Such As Apache HadoopPerformance Analysis And System Optimization Techniques
