• Home
  • Search Tags
  • About

hadoop

Topics related to hadoop:

Getting started with hadoop

What is Apache Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Apache Hadoop includes these modules:

  • Hadoop Common: The common utilities that support the other Hadoop modules.
  • Hadoop Distributed File System (HDFS): A distributed file system that provides high-throughput access to application data.
  • Hadoop YARN: A framework for job scheduling and cluster resource management.
  • Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

Reference:

Apache Hadoop

What is HDFS?

A good explanation of HDFS and how it works.

Syntax should contain the commands which maybe use in HDFS.

Hadoop load data

Hadoop commands

Introduction to MapReduce

Word Count program using MapReduce in Hadoop.

hue

Debugging Hadoop MR Java code in local eclipse dev environment.

That is all you need to do.

Content on the page is taken from Stack Overflow Documentation

This site is NOT affiliated with Stack Overflow or any of the contributors. | Privacy Policy | Terms of Service