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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

HBase

Although Hadoop was getting popular after its invention, it was still only suitable for batch processing use cases where a huge set of data could be processed in a single batch. Hadoop came from the Google research paper called Hadoop Distributed File System (HDFS) from the Google File System Research paper and MapReduce from the Google MapReduce research paper. Google has one more popular product, which is Big Table, and to support random read/write access over large sets of data, HBase was discovered. HBase runs on top of Hadoop and uses the scalability of Hadoop by running its daemon—HDFS, with real-time data access as a key/value store.

Note

Apache HBase is an open source, distributed, NoSQL database that provides real-time random read/write access to large datasets over HDFS.

HBase architecture and its concept

Apache HBase is a distributed column storage database that also follows the master/slave architecture. Below is a picture representation of HBase architecture and its components...

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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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