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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

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Index

Encryption

There are two types of encryptions in Hadoop. One is for encrypting data that is transferred over the network. That is called data in transit encryption. Another is for encrypting data that is stored on disks, which is called data at rest encryption. We will look at both of these types of encryption techniques in the following sections.

Data in transit encryption

To understand in transit encryption of any Hadoop cluster, you need to understand how different components are communicating with each other. By how, we mean what kind of network protocol they are using. Enabling encryption over the network depends upon what kind of communication protocol is being used for communication.

We can think of Hadoop cluster components using three different types of protocols, namely RPC, TCP/IP, and HTTP. RPC is used for network communication of MapReduce programming, JobTracker communication, TaskTracker communication, and NameNode communication. The TCP/IP protocol is used for communication...

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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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