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)

Planning the Cloud infrastructure

Traditional organizations have their own IT/infrastructure teams to manage their dedicated servers and network. When planning migration to the Cloud, we have to keep the following things in mind for better operability of the infrastructure.

Planning the Cloud infrastructure deals with:

  • Dedicated or shared servers
  • High availability
  • Business continuity planning
  • Security
  • Network architecture

Dedicated servers versus shared servers

Cloud providers give you the option of renting servers that completely own the physical hardware or share the physical hardware with other Cloud users like us. In order to reach a decision on this, we need to understand the advantages and disadvantages of each of...