TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
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Updated
Oct 14, 2023 - Java
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Provides remote kernel provisioners for various resource-managed clusters.
DynoYARN is a framework to run simulated YARN clusters and workloads for YARN scale testing.
Docker image builds for Hadoop sandbox.
A fully-functional Hadoop Yarn cluster as docker-compose deployment.
Ansible scripts for setting up Multi-Cluster Hadoop
It's a modified version of hadoop yarn resource manager. It has a new fair(drf) scheduling + simulated annealing policy that has been added to the package. visit below for more information.
Big-Data with Apache Spark and Python.
A simple service for discovering Flink cluster on Hadoop Yarn
ProBoS - A PBS implementation on Hadoop YARN
Instructions for setting up Hadoop 3.0.3 on AWS
A starter project for Hadoop and Giraph with Maven and Docker
Various scripts to automate and ease Apache Hadoop YARN development.
Design and implementation of different MapReduce jobs used to analyze a dataset on Covid-19 disease created by Our World In Data
spark hadoop exercise of cloud computing course - aut 1402-1403 fall
Hadoop setup - distributed mode with yarn locally.
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