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)

Data visualization

Data visualization is the process of understanding the relationships between various entities in the raw data via graphical means. This is a very powerful technique because it enables end users to get the message in a very easy form without even knowing anything about the underlying data.

Data visualization plays a very important role in visual communication of insights from big data. Its both an art and a science, and requires some effort in terms of understanding the data; at the same time we need some understanding of the target audience as well.

So far, we have seen that any type of data can be stored in the Hadoop filesystem (HDFS). In order to convert complex data structures into a visual form, we need to understand the standard techniques that are used to represent the data.

In data visualization, the message is conveyed to the end users in the form of...