A full-stack Search Engine built for a Big Data course project. It scrapes over 200K articles, stores them in HDFS, and builds an inverted index using MapReduce. Designed to demonstrate scalable data processing, distributed storage, and basic information retrieval over large datasets.

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

Designing and implementing MapReduce algorithms for a variety of common data processing tasks

K-means clustering algorithm using MapReduce.

A MapReduce framework implemented from scratch to perform K-mean clustering

A MapReduce implementation in python in a docker simulated distributed system

HW for the Big Data Computation course. Use Apache Spark and MapReduce algorithm to extract information from a dataset.

Scalable MapReduce System on Google Cloud with FaaS (Function as a Service).

Using MapReduce to analyze trends in all tweets sent in 2020 using parallel computing