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)


In this chapter, we learned about the different data life cycle stages, including when data is created, shared, maintained, archived, retained, and deleted.

This chapter gave you a detailed understanding of how big data is managed, considering the fact that it is either unstructured or semi-structured and it has a fast arrival rate and large volume.

As the complexity of the infrastructure that generates and uses data in business organizations has increased drastically, it has become imperative to secure your data properly. This chapter further covered data security tools, such as Apache Ranger, and patterns to help us learn how to have control over the access patterns of data.

In the next chapter, we will take a look at Hadoop installation, its architecture and key components.