Banner Image

All Services

Programming & Development Programming & Software

Apache Hadoop Development in Linux

$50/hr Starting at $300

Apache Hadoop is a framework for running applications on large cluster built of commodity hardware.  The Hadoop framework transparently provides applications for both reliability and data motion.  Hadoop implements a computational paradigm named Map/Reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. 

In addition, it provides a distributed file system (HDFS) that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster.  Both MapReduce and the Hadoop Distributed File System are designed so that node failures are automatically handled by the framework. 

What I need To Work? 

- SSH access to Linux 

- Source code 

- Your GitHub or GitLab account to pull code 

So what you are waiting for. Contact with me for start your service

About

$50/hr Ongoing

Download Resume

Apache Hadoop is a framework for running applications on large cluster built of commodity hardware.  The Hadoop framework transparently provides applications for both reliability and data motion.  Hadoop implements a computational paradigm named Map/Reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. 

In addition, it provides a distributed file system (HDFS) that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster.  Both MapReduce and the Hadoop Distributed File System are designed so that node failures are automatically handled by the framework. 

What I need To Work? 

- SSH access to Linux 

- Source code 

- Your GitHub or GitLab account to pull code 

So what you are waiting for. Contact with me for start your service

Skills & Expertise

Data ManagementGitHubLinuxUnixVersion Control

0 Reviews

This Freelancer has not received any feedback.