Hadoop is an open-source framework that is widely used to deal with Bigdata. Most of the Bigdata/Data Analytics projects are being built up on top of the Hadoop Eco-System. It consists of two-layer, one is for Storing Data and another one is for Processing Data.
Storage will be taken care of by its own filesystem called HDFS (Hadoop Distributed Filesystem) and Processing will be taken care of by YARN (Yet Another Resource Negotiator). Mapreduce is the default processing engine of the Hadoop Eco-System.
This article describes the process to install the Pseudonode installation of Hadoop, where all the daemons (JVMs) will be running Single Node Cluster on CentOS 7.
This is mainly for beginners to learn Hadoop. In real-time, Hadoop will be installed as a multinode cluster where the data will be distributed among the servers as blocks and the job will be executed in a parallel manner.
Prerequisites
- A minimal installation of CentOS 7 server.
- Java v1.8 release.
- Hadoop 2.x stable release.
On this page
- How to Install Java on CentOS 7
- Set Up Passwordless Login on CentOS 7
- How to Install Hadoop Single Node in CentOS 7
- How to Configuring Hadoop in CentOS 7
- Formatting the HDFS File System via the NameNode
#centos #hadoop #centos tips #hadoop tips
