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)

The need for an enterprise search engine

Just like we all need a tool to search our own things, every company also needs a search engine to build so that internal and external entities can find what they want.

For example, an employee has to search for his/her PTO balance, paystub of a particular month, and so on. The HR department may search for employees who are in finance group or so. In an e-commerce company, a product catalog is the most searchable object. It is a very sensitive object because it directly impacts the revenue of the company. If a customer wants to buy a pair of shoes, the first thing he/she can do is search the company product catalog. If the search time is more than a few seconds, the customer may lose interest in the product. It may also be possible that the same customer goes to another website to buy a pair of shoes, resulting in a loss of revenue.

It...