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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

Erasure encoding in Hadoop 3.x

HDFS achieves fault-tolerance by replicating each block three times by default. However, in big clusters, the replication factor can be more. The purpose of replication is to handle data loss against machine failure, providing data locality for the MapReduce job, and so on. The replication takes more storage space, which means that if our replication factor is three, HDFS will take an extra 200% space to store file. In short, storing 1 GB of data will require 3 GB of memory. This also causes metadata memory on NameNode.

HDFS introduced erasure coding (EC) for storing data by taking less storage space. Now, data is labelled based on their usage access pattern, and after the conditions for erasure coding have been satisfied, data will be applicable for erasure coding. The term Data Temperature is used to identify the data usage pattern. The different types of data are as follows:

  • Hot data: By default, all data is considered HOT. Data that is accessed more than...
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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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