M

MapReduce

Analyzed decades of historical weather station data (1920–1940) using Hadoop MapReduce. Filtered operable stations, computed descriptive statistics (min, max, mean, median), and produced reports/graphs. Designed modular MRJobs to chain tasks together for scalable processing.

[Research] This repository consists of different branches which were created for various purposes on studying Docker and Apache Hadoop framework.

Execute Hadoop and Spark applications on the BigData@Polito cluster with a single command

This project aggregates trending data from Ukraine based Twitter accounts. The raw aggregated data is cleansed before analysis using some Big-data methods. The purpose of this project is to familiarize myself with the workings of Hadoop for HDFS and Map-Reduce infrastructure.

Explaining usage of classroom spaces and trending subjects using classroom usage data.

Frequent itemset mining implementation for MapReduce framework.