📁 Extract, Transform, Load (ETL) 👷 refers to a process in database usage and especially in data warehousing. This repository contains a starter kit featuring ETL related work.

MapReduce in Nodejs

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

pagerank hadoop

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

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

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

Mapreduce concepts- Secondary sort, counters, mutiple mapreduce jobs

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.

Performed business operations using Big data technologies: AWS EMR, AWS RDS (MySQL), Hadoop, Apache Scoop, Apache HBase, MapReduce

Beta versions/student projects

Big data technologies that I have experimented with

Cloud and big data 2017/2018: Programming Assignments

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

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

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

A cloud computing coursework on bigdata etc

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