Book Image

Modern Big Data Processing with Hadoop

By : V Naresh Kumar, Manoj R Patil, Prashant Shindgikar
Book Image

Modern Big Data Processing with Hadoop

By: V Naresh Kumar, Manoj R Patil, Prashant Shindgikar

Overview of this book

The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems.
Table of Contents (12 chapters)

Installing Hadoop cluster

The following steps need to be performed in order to install Hadoop cluster. As the time of writing this book, Hadoop Version 2.7.3 is a stable release. We will install it.

  1. Check the Java version using the following command:
Java -version
Java(TM) SE Runtime Environment (build 1.8.0_144-b01)
Java HotSpot(TM) 64-Bit Server VM (build 25.144-b01, mixed mode) You need to have Java 1.6 onwards
  1. Create a Hadoop user account on all the servers, including all NameNodes and DataNodes with the help of the following commands:
useradd hadoop
passwd hadoop1 

Assume that we have four servers and we have to create a Hadoop cluster using all four servers. The IPs of these four servers are as follows: 192.168.11.1, 192.168.11.2, 192.168.11.3, and 192.168.11.4. Out of these four servers, we will first use a server as a master server (NameNode) and all remaining servers...