Book Image

Learning YARN

By : Akhil Arora, Shrey Mehrotra, Shreyank Gupta
Book Image

Learning YARN

By: Akhil Arora, Shrey Mehrotra, Shreyank Gupta

Overview of this book

Today enterprises generate huge volumes of data. In order to provide effective services and to make smarter and more intelligent decisions from these huge volumes of data, enterprises use big-data analytics. In recent years, Hadoop has been used for massive data storage and efficient distributed processing of data. The Yet Another Resource Negotiator (YARN) framework solves the design problems related to resource management faced by the Hadoop 1.x framework by providing a more scalable, efficient, flexible, and highly available resource management framework for distributed data processing. This book starts with an overview of the YARN features and explains how YARN provides a business solution for growing big data needs. You will learn to provision and manage single, as well as multi-node, Hadoop-YARN clusters in the easiest way. You will walk through the YARN administration, life cycle management, application execution, REST APIs, schedulers, security framework and so on. You will gain insights about the YARN components and features such as ResourceManager, NodeManager, ApplicationMaster, Container, Timeline Server, High Availability, Resource Localisation and so on. The book explains Hadoop-YARN commands and the configurations of components and explores topics such as High Availability, Resource Localization and Log aggregation. You will then be ready to develop your own ApplicationMaster and execute it over a Hadoop-YARN cluster. Towards the end of the book, you will learn about the security architecture and integration of YARN with big data technologies like Spark and Storm. This book promises conceptual as well as practical knowledge of resource management using YARN.
Table of Contents (20 chapters)
Learning YARN
Credits
About the Authors
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

About the Authors

Akhil Arora works as a senior software engineer with Impetus Infotech and has around 5 years of extensive research and development experience. He joined Impetus Infotech in October 2012 and is working with the innovation labs team. He is a technology expert, good learner, and creative thinker. He is also passionate and enthusiastic about application development in Hadoop and other big data technologies. He loves to explore new technologies and is always ready to work on new challenges. Akhil attained a BE degree in computer science from the Apeejay College of Engineering in Sohna, Haryana, India.

 

A beginning for a new voyage, A first step towards my passion and to gain recognition, My first book Learning YARN..!!

 
 --Akhil Arora

Shrey Mehrotra has more than 5 years of IT experience, and in the past 4 years, he has gained experience in designing and architecting solutions for cloud and big data domains.

Working with big data R&D Labs, he has gained insights into Hadoop, focusing on HDFS, MapReduce, and YARN. His technical strengths also include Hive, PIG, ElasticSearch, Kafka, Sqoop, Flume, and Java. During his free time, he listens to music, watches movies, and enjoys going out with friends.