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)

Hadoop clusters

So far, we have seen how to create a single Hadoop cluster using Ambari. But, is there ever a requirement for multiple Hadoop clusters?

The answer depends on the business requirements. There are trade-offs for both single versus multiple Hadoop clusters.

Before we jump into the advantages and disadvantages of both of these, let's see in what scenarios we might use either.

A single cluster for the entire business

This is the most straightforward approach and every business starts with one cluster, at least. As the diversity of the business increases, organizations tend to choose one cluster per department, or business unit.

The following are some of the advantages:

  • Ease of operability: Since there is only...