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2020-Q1 2026-Q1

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Learning YARN

"Learning YARN" is your comprehensive guide to master YARN, the resource management layer in the Hadoop ecosystem. Through the book, you'll leverage YARN's capabilities for big data processing, learning to deploy, manage, and scale Hadoop-YARN clusters. What this Book will help me do Understand the main features and benefits of the YARN framework. Gain experience managing Hadoop clusters of varying sizes. Learn to integrate YARN with domain-specific big data tools like Spark. Become skilled at administration and configuration of YARN. Develop and run your own YARN-based applications for distributed computing. Author(s) Akhil Arora and Shrey Mehrotra bring with them years of experience working in big data frameworks and technologies. With expertise in YARN specifically, they aim to bridge the gap for developers and administrators to learn and implement scalable big data solutions. Their extensive knowledge in cluster management and distributed data processing shines through in how this book is structured and detailed. Who is it for? This book is ideal for software developers, big data engineers, and system administrators interested in advancing their knowledge in resource management in Hadoop systems. If you have basic familiarity with Hadoop and need a deeper understanding or feature knowledge of YARN for professional growth, this book is tailored for you. It is also suitable for learners seeking to integrate big data platforms like Spark into YARN clusters.

YARN Essentials

"YARN Essentials" offers a practical introduction to Apache Hadoop YARN. With this book, you will acquire the skills to install, configure, and manage YARN clusters effectively. It provides hands-on guidance for deploying and managing applications and emerging frameworks, making this resource vital for mastering this key Hadoop technology. What this Book will help me do Learn how to install and configure Apache YARN from scratch. Understand YARN's architecture and its integration with the Hadoop ecosystem. Gain the ability to fine-tune a YARN cluster for optimal performance and scalability. Develop skills to create and run applications on a shared YARN cluster environment. Become proficient in managing, troubleshooting, and expanding YARN capabilities. Author(s) None Fasale and Nirmal Kumar are experienced professionals specializing in Hadoop and distributed systems. With years of hands-on experience in YARN and managing large-scale data processing frameworks, they bring their comprehensive expertise into this guide. Their focus on clarity and applicable knowledge ensures readers gain practical skills alongside theoretical understanding. Who is it for? This book is ideal for Hadoop administrators or developers with background knowledge of Hadoop 1.x, seeking to specialize in managing YARN clusters effectively. It assumes familiarity with basic Hadoop concepts while providing thorough explanations for YARN-specific features and topics. If you're looking to deploy scalable applications using YARN, this is the book for you.

Apache Hadoop™ YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop™ 2

“This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that broadens Hadoop beyond the MapReduce paradigm.” —From the Foreword by Raymie Stata, CEO of Altiscale The Insider’s Guide to Building Distributed, Big Data Applications with Apache Hadoop™ YARN Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource management at data center scale and easier ways to create distributed applications that process petabytes of data. And now in two Hadoop technical leaders show you how to develop new applications and adapt existing code to fully leverage these revolutionary advances. Apache Hadoop™ YARN, YARN project founder Arun Murthy and project lead Vinod Kumar Vavilapalli demonstrate how YARN increases scalability and cluster utilization, enables new programming models and services, and opens new options beyond Java and batch processing. They walk you through the entire YARN project lifecycle, from installation through deployment. You’ll find many examples drawn from the authors’ cutting-edge experience—first as Hadoop’s earliest developers and implementers at Yahoo! and now as Hortonworks developers moving the platform forward and helping customers succeed with it. Coverage includes YARN’s goals, design, architecture, and components—how it expands the Apache Hadoop ecosystem Exploring YARN on a single node Administering YARN clusters and Capacity Scheduler Running existing MapReduce applications Developing a large-scale clustered YARN application Discovering new open source frameworks that run under YARN