Map-Reduce jobs in python to get insightful information from NYC Taxi data

MapReduce in Nodejs

Cloud and big data 2017/2018: Programming Assignments

Count the number of times a word occurs in 1GB (Big Data) Dataset of books using hadoop map-reduce

MapReduce Framework based on Storm that is flexible for any MapReduce work. Built with a number of workers and a single master.Used BerkeleyDB as temporary data storage in case of big data processing

Hadoop jobs written using GoLang, and run using Hadoop on Docker Containers

Beta versions/student projects

A cloud computing coursework on bigdata etc

Big Data, Hadoop, and MapReduce in Python. MapReduce Jobs using the MRJob library & Amazon Elastic MapReduce service.

Recommends movies to the users based on the users profiles and the ratings of other users.

Design and implementation of different MapReduce jobs used to analyze a dataset on Covid-19 disease created by Our World In Data

Run Hadoop Custer within Docker Containers (sequenceiq/hadoop-docker image)

MapReduce Job Development, RDDs Programming, Medical Data Management, Sales Analysis, And Efficient Data Integration For Big Data Analysis. Spark: Big Data Processing, SQOOP Integration, And Spark Structured Streaming For Real-Time Data.

Mapreduce concepts- Secondary sort, counters, mutiple mapreduce jobs

Hadoop map-reduce to derive some statistics from Yelp Dataset

pagerank hadoop

Big Data Processing and Analytics course term project.

Big data technologies that I have experimented with