hadoop-streaming
There are 6 repositories under hadoop-streaming topic.
LMAPcoder / Hadoop-on-Colab
Installation and configuration of Hadoop on Google Colaboratory
Language:Jupyter Notebook 7monisjaved / Data-Processing-With-Hadoop
Text Processing Using Hadoop
Language:Jupyter Notebook 6peloyeje / map543-dijkstra-mapreduce-spark
[MAP543] Hadoop Streaming (MapReduce) and Spark implementations of the Dijkstra shortest path algorithm
Language:Jupyter Notebook 5- Language:Go 4
highoncarbs / hadoopwithpy
:elephant: :heavy_plus_sign: :snake: Learning Hadoop with Python
Language:Python 4jomarsilio / Bootcamp-IGTI-Analista-de-Dados
Bootcamp ministrado pela IGTI com o objetivo de abordar de forma intensiva conceitos e práticas da análise de dados, habilitando o aluno para atuar profissionalmente na área.
Language:Jupyter Notebook 4- Language:Python 4
MandarGogate / Association-Rule-Mining-Hadoop-Python
A case study on mining association rules between different factors related to deaths of people in the United States
Language:Python 3sreetamparida / Hiraishin
A REST-based service that translates the SQL query into MapReduce and Spark jobs. It runs these jobs and provides the JSON object. SQL to MapReduce and Spark translator.
Language:Python 3- Language:PLpgSQL 3
BurraAbhishek / Python_Hadoop_MapReduce_MarketBasketAnalysis
Market Basket Analysis using Hadoop MapReduce in Python
Language:Python 2GINK03 / aws-emr-streaming-templates
AWS Elastic Map Reduce Streaming Templates
Language:Python 26vedant / TwitterAnalyticsHadoop
Twitter Streaming Analytics Project (Big Data Analysis using Hadoop)
Language:Java 1Jacob12138xieyuan / hadoop-mapreduce-with-python
hadoop mapreduce algorithm with hadoop streaming (Python)
Language:Jupyter Notebook 1KhanShaheb34 / MapReduce
Learning Hadoop MapReduce Using Python
Language:Python 1- Language:Python 1
maniraniyal / BigData
Step By Step guide for Hadoop installation on Ubuntu 16.04.3 with MapReduce example using Streaming
Language:Python 1SakhriHoussem / MapReduce-Python
MapReduce Python Example
Language:Python 1simple-learning / Hadoop
Hadoop Projects
Language:Java 1- Language:Python 1
tertiarycourses / ApacheHadoop
Exercise files for Apache Hadoop Big Data Training
vbugaevskii / hadoop-streaming-protoseq
A small library example how to work with binary files with Hadoop Streaming.
Language:Java 1- Language:Shell 1
amitthere / clustering-algorithms
K-Means, Hierarchical Agglomerative, Density based and Map Reduce K-Means Clustering implemented on 2 Gene Datasets in Python
Language:Python 0avimonda298 / Hadoop
Worked on Hadoop file streaming
Language:Python 0bug-data / Big_Data_First_Project
First project for Big Data course held at Roma Tre University
Language:Jupyter Notebook 0crazypegasusvv / Mutations
Mutations
0NilufaYeasmin / MapReduce
This repo contains implementations of Mapreduce program in a large text corpus with Apache Hadoop Environment | Nilufa Yeasmin | https://www.linkedin.com/in/nilufayeasmin/
Language:CSS 0niz-ka / pbd-project
Repository to the needs of Big Data course at university
Language:Python 0Sidl419 / hadoop_streaming
Построение рекомендательной системы на основе алгоритма коллаборативной фильтрации и технологии Hadoop Streaming
Language:Python 0vineetdcunha / Hadoop_Ecosystem
Processing and transforming data via Hadoop Ecosystem
Language:Python 0aditeyabaral / mapreduce-word2vec
Implementation of Word2Vec for large datasets as a Map-Reduce Job using Hadoop Streaming.
Language:Pythonantoinewg / ocr-page-rank
PageRank algorithm using Hadoop Streaming
Language:Python- Language:Python
shreyasnagare / GCP-Dataproc-Hadoop-MapReduce
A Hadoop MapReduce application to find the maximum temperature in every day of the years 1901 and 1902 from the NCDC weather records.
Language:PythonYMaher99 / Parallelizing-the-Feedforward-Operation-of-Neural-Networks-in-Hadoop-MapReduce
Leveraging the mapreduce paradigm we propose a solution to parallelize the feedforward operation of neural networks in order to speed it up for sufficiently large NN architectures and for sufficiently large datasets. Tested Using the MNIST dataset results can be found in the results.html and results.ipynb files.
Language:HTML
