《大数据挖掘技术》@复旦 课程项目，试图从搜狗实验室用户查询日志数据（2008）中找出搜索记录中有较高支持度关键词的频繁二项集。在实现层面上，我搭建了一个由五台服务器组成的微型 Hadoop 集群，并且用 Python 实现了 Parallel FP-Growth 算法中的三个 MapReduce 过程。

基于Item-based CF和XGBRegressor完成的用户对商品的推荐系统

Using hadoop to utilize data from an automobile tracking platform that tracks the history of important incidents after the initial sale of a new vehicle.

Lambda to start EMR and run a map reduce job

This repository have codes that extracts meaningful information from News headline data-set.

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.

Hadoop MapReduce Python

A repository containing the source codes for the assignments done as a part of the Big Data course (UE18CS322) at PES University.

Market basket analysis of finding frequent itemsets using SON algorithm in Spark

MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. Many real-world tasks…

Lightweight and extensible library to execute MapReduce-like jobs in Python

Performing Map reduce to get the page rank on the WDC data.

Modified from big-data-europe/docker-hadoop

Understand how map reduce works for parsing a text data with parallel processing of sub tasks using multi threading

This project builds a data pipeline implementing the ETL process.

Emulation-based System for Distributed File storage and Parallel Computation

Alternative Mapreduce Simple Example

Distributed Computing using Hadoop, Docker and Python (Map Reduce)

K-means clustering algorithm using MapReduce.

A distributed map-reduce implemented by Python 3 and gRPC