A collection of ready-to-use Docker development environments for multiple Linux distributions (Ubuntu, Debian, Alpine, Arch, Kali). Includes shared configurations, utility scripts, and comprehensive documentation for reproducible development setups across teams and CI/CD pipelines.

Large Tech Knowledge Base from 20 years in DevOps, Linux, Cloud, Big Data, AWS, GCP and Consulting around the World including extensive Travel Tips and restaurants

Hadoop on Kubernetes on Docker Desktop.

L'objectif du projet est de créer un cluster Docker donnant accès à Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center et pgAdmin. Ce cluster est exclusivement destiné à un usage en développement. Ne pas l'utiliser en production.

1000+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs, SQL, PostgreSQL, MySQL, Hive, Impala, Kafka, Hadoop, Jenkins, GitHub, GitLab, BitBucket, Azure DevOps, TeamCity, Spotify, MP3, LDAP, Code/Build Linting, pkg mgmt for Linux, Mac, Python, Perl, Ruby, NodeJS, Golang, Advanced dotfiles: .bashrc, .vimrc, .gitconfig, .screenrc, tmux..

A fully-functional Hadoop Yarn cluster as docker-compose deployment.

Docker image with Hadoop cluster

Automate the deployment of a production-ready Hadoop HDFS cluster on GCP & AWS using Terraform and Ansible.

Apache Hadoop Cluster configuration with original apache/hadoop:3.4.1 docker image (with YARN)

A highly available, fully distributed big data cluster built with Docker, integrating Hadoop HDFS, YARN, ZooKeeper, HBase, Hive, Spark, and Tez. Designed for scalability, fault tolerance, and seamless data processing in a containerized environment.

Technical Skills Analysis using MapReduce - hadoop

Complete Apache Hadoop 3.4.1 cluster installation and management toolkit with automated scripts, comprehensive documentation, and production-ready configuration templates for single-node and multi-node deployments.

This project sets up a Hadoop High Availability (HA) Cluster using Docker Compose with three master nodes and two worker nodes for fault-tolerant big data processing. It includes Zookeeper & JournalNodes for automatic NameNode failover, ensuring scalability & reliability.

Build your own high available and scalable Open-Source IDE

Complete Big Data Ecosystem on Docker Desktop

[DEMO] - Hadoop Local

Ejercicios para contar palabras, ordenar numeros (de menor a mayor) y resolver sudoku.

Hadoop docker & docker-compose support for arm64 platform

Containerized Hadoop cluster with Spark, Hive, Pig, HBase, and Zookeeper for scalable Big Data processing using Docker.

🚀 A tool for quickly deploying a fully containerized pseudo-distributed Hadoop cluster, making Hadoop setup faster and easier.