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)


Flume is a reliable, available and distributed service to efficiently collect, aggregate, and transport large amounts of log data. It has a flexible and simple architecture that is based on streaming data flows. The current version of Apache Flume is 1.7.0, which was released in October 2016.

Apache Flume architecture

The following diagram depicts the architecture of Apache Flume:

Let's take a closer look at the components of the Apache Flume architecture:

  • Event: An event is a byte payload with optional string headers. It represents the unit of data that Flume can carry from its source to destination.
  • Flow: The transport of events from source to destination is considered a data flow, or just flow.
  • Agent: It is...