GitHub / amitkedia007 / Analysis-of-AirBnB-data-Hadoop-Mapreduce
This repo explains the implementation of Map-Reduce Algorithm on the AirBnb data to understand the consumer satisfaction region and country wise. This is the effective use of parallel distributed computing to resolve the big data problems
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PURL: pkg:github/amitkedia007/Analysis-of-AirBnB-data-Hadoop-Mapreduce
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Java
Size: 1.8 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Commit Stats
Commits: 11
Authors: 2
Mean commits per author: 5.5
Development Distribution Score: 0.273
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/amitkedia007/Analysis-of-AirBnB-data-Hadoop-Mapreduce
Topics: big-data-analytics, hadoop, hadoop-mapreduce, java, map-reduce, parallel-computing