AWS Cloudera Hadoop setup with H2O, Spark, MR

COVID-19 data analysis with MapReduce

Big Data Technologies can be defined as software tools for analyzing, processing, and extracting data from an extremely complex and large data set with which traditional management tools can never deal

Applying MapReduce in Java on a Twitter dataset using Apache Hadoop

My portfolio | under development

🌟Spark Ceph Connector: Implementation of Hadoop Filesystem API for Ceph

An python implementation of Minimal Mapreduce Algorithms for Apache Spark

Learning Apache Hadoop for Big Data. Moreover, exploring Map Reduce, Apache Spark RDD, Distributed Processing and Stream Processing

Hadoop, HBase, Phoenix, and Zookeeper Integration

This repository contains all the material related to this big data certification.

Implementation of Statistical Methods via Hadoop Map-Reduce Library.

Big Data pipeline for real-time sensor fusion and predective analysis.

Intalasi WSL2 untuk Praktikum ABD

Docker image for Hive Metastore

Batch processing runtime analytics

This repository aims to develop a basic search engine utilizing Hadoop's MapReduce framework to index and process extensive text corpora efficiently. The dataset used for this project is a subset of the English Wikipedia dump, totaling 5.2 GB in size. The project focuses on implementing a naive search algorithm to address challenges in information.

logback appender for apache-flume

Repository for the master's course Cloud Computing of the TU Berlin in the winter term 2020/21.

Hands-on learning Hadoop

Installation and configuration of a small data lake