Big-Data-Processing-with-Hadoop

Mapper and Reducer algorithms were implemented for wordcount, N-grams, Inverted Index, Relational Join and KNN(K-Nearest Neighbours) using NumPy in Python.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
gutenberg		gutenberg
.DS_Store		.DS_Store
BigData_Processing_with_Hadoop.pdf		BigData_Processing_with_Hadoop.pdf
README.md		README.md
Test.csv		Test.csv
Train.csv		Train.csv
join 2.xlsx		join 2.xlsx
join1.xlsx		join1.xlsx
mapper_ngrams1.py		mapper_ngrams1.py
mapper_ngrams2.py		mapper_ngrams2.py
mapper_wordcount.py		mapper_wordcount.py
mapperindex.py		mapperindex.py
mapperjoins.py		mapperjoins.py
mapperknn.py		mapperknn.py
reducer_ngrams1.py		reducer_ngrams1.py
reducer_ngrams2.py		reducer_ngrams2.py
reducer_wordcount.py		reducer_wordcount.py
reducerindex.py		reducerindex.py
reducerjoins.py		reducerjoins.py
reducerknn.py		reducerknn.py
~$signment2.pdf		~$signment2.pdf

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