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Books > Computing & IT > General theory of computing
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Learning YARN (Paperback)
Loot Price: R1,194
Discovery Miles 11 940
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Learning YARN (Paperback)
Expected to ship within 18 - 22 working days
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Moving beyond MapReduce - learn resource management and big data
processing using YARN About This Book * Deep dive into YARN
components, schedulers, life cycle management and security
architecture * Create your own Hadoop-YARN applications and
integrate big data technologies with YARN * Step-by-step guide to
provision, manage, and monitor Hadoop-YARN clusters with ease Who
This Book Is For This book is intended for those who want to
understand what YARN is and how to efficiently use it for the
resource management of large clusters. For cluster administrators,
this book gives a detailed explanation of provisioning and managing
YARN clusters. If you are a Java developer or an open source
contributor, this book will help you to drill down the YARN
architecture, write your own YARN applications and understand the
application execution phases. This book will also help big data
engineers explore YARN integration with real-time analytics
technologies such as Spark and Storm. What You Will Learn * Explore
YARN features and offerings * Manage big data clusters efficiently
using the YARN framework * Create single as well as multi-node
Hadoop-YARN clusters on Linux machines * Understand YARN components
and their administration * Gain insights into application execution
flow over a YARN cluster * Write your own distributed application
and execute it over YARN cluster * Work with schedulers and queues
for efficient scheduling of applications * Integrate big data
projects like Spark and Storm with YARN In Detail 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. Style and approach Starting with the basics and
covering the core concepts with the practical usage, this tutorial
is a complete guide to learn and explore YARN offerings.
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