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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

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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

YARN

YARN is a new generation resource manager and plays the role of scheduling and executing the application over the Hadoop cluster. In this section, we will look at how we can run benchmarks against a YARN cluster.

Scheduler Load Simulator (SLS)

Hadoop provides three different kinds of scheduling algorithms in the form of queues. They are called FIFO, Capacity and Fair schedulers. Each of these schedulers takes different factors like available capacity, fairness among different running jobs, and guaranteed resource availability. Now, an important point to decide is what type of queue is suitable for your workload in the production environment. This test helps you decide that. One thing to note here is that the simulator works on prediction. It does not run jobs on the entire cluster. It is always time-consuming and expensive to run it on a very large cluster. Moreover, very few organizations run on a very large cluster. This test predicts how well the queues fit into your workloads. The...

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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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