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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

Data Processing

Authors (2):

Chanchal Singh

Manish Kumar

View More author details

Table of Contents (23) Chapters

Title Page

Dedication

About Packt

Foreword

Contributors

Preface

1. Journey to Hadoop 3

2. Deep Dive into the Hadoop Distributed File System

3. YARN Resource Management in Hadoop

4. Internals of MapReduce

5. SQL on Hadoop

6. Real-Time Processing Engines

7. Widely Used Hadoop Ecosystem Components

8. Designing Applications in Hadoop

9. Real-Time Stream Processing in Hadoop

10. Machine Learning in Hadoop

11. Hadoop in the Cloud

12. Hadoop Cluster Profiling

13. Who Can Do What in Hadoop

14. Network and Data Security

15. Monitoring Hadoop

1. Other Books You May Enjoy

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Index

HDFS high availability in Hadoop 3.x

With Hadoop 2.0, active and standby NameNodes were introduced. At any point, out of two NameNodes, one will always be in active state and other will be in standby state. The active NameNode is the one that's responsible for any client requests in the cluster. Standby NameNodes are slave nodes whose responsibility is to keep its state in sync with the active NameNode so that it can provide fast failover in the event of failover. However, what if one of the NameNodes fails? In that case, the NameNode would become non-HA. This means that NameNodes can only tolerate up to one failure. This behavior is the opposite of the core fault -tolerant behavior of Hadoop, which certainly can accommodate more than one failure of DataNodes in a cluster. Keeping that in mind, provisions of more than one standby NameNode was introduced in Hadoop 3. The behavior of additional standby NameNodes will still be the same as any other standby NameNode. They will have their own...

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Authors (2)

Chanchal Singh

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.

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Manish Kumar

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).

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