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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
LinkedIn
Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.
See other products by Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
LinkedIn
Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).
See other products by Manish Kumar
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Table of Contents (23) Chapters

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
Journey to Hadoop 3 Deep Dive into the Hadoop Distributed File System YARN Resource Management in Hadoop Internals of MapReduce SQL on Hadoop Real-Time Processing Engines Widely Used Hadoop Ecosystem Components Designing Applications in Hadoop Real-Time Stream Processing in Hadoop Machine Learning in Hadoop Hadoop in the Cloud Hadoop Cluster Profiling Who Can Do What in Hadoop Network and Data Security Monitoring Hadoop Other Books You May Enjoy Index

Node labels

The use of Hadoop in the organization increases over time and they board more use cases to the Hadoop platform. The data pipeline in an organization consists of multiple jobs. A Spark job may need machines with more RAM and powerful processing capabilities but, on the other hand, MapReduce can run on less powerful machines. Therefore, it is obvious that a cluster may consist of different types of machines to save infrastructure costs. A Spark job may need machines with high processing capability. YARN label is nothing but a marker for each machine so that machines with the same label name can be used for specific jobs. The nodes with more powerful processing capabilities can be labelled with the same name and then jobs that require more powerful machines can use the same node label during submission. Each node can only have one label assigned to it, which means the cluster will have a disjointed set of nodes or we can say a cluster is partitioned based on node labels. The YARN...

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Authors (2)

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Profile icon Chanchal Singh
LinkedIn
Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.
Read more
See other products by Chanchal Singh
Profile icon Manish Kumar
LinkedIn
Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).
See other products by Manish Kumar
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