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)

Setting up a Hadoop cluster with Ambari

In this section, we will learn how to set up a brand new Hadoop cluster from scratch using Ambari. In order to do this, we are going to need four servers – one server for running the Ambari server and three other nodes for running the Hadoop components.

Server configurations

The following table displays the configurations of the servers we are using as part of this exercise:

Server Type

Name

CPU

RAM

DISK

Ambari Server node

master

1

3.7 GB

100 GB

Hadoop node 1

node-1

2

13 GB

250 GB

Hadoop node 2

node-2

2

13 GB

250 GB

Hadoop node 3

node-3

2

13 GB

250 GB

Since this is a sample setup, we are good with this configuration...