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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

Common batch processing pattern

Batch processing has been used for many years and there has been some common design problems encountered during batch processing implementation. People have some common design patterns to solve such problems. In this section, we will basically discuss some of the common design patterns and how we solve design problems using common techniques.

Slowly changing dimension

Slowly Changing Dimension (SCD) refers to the concept where some or most part of the data changes at irregular intervals. There are multiple SCD types available and each have different implementations in Hadoop. We will talk about each type and how to deal with it. We will look into Type 1 and Type 2, which are commonly used slowly changing dimensions.

Slowly changing dimensions – type 1

Slowly changing dimensions type 1 implementation overwrites all the old data with new and updated records. It does not maintain history of old data, meaning we will not be able to track the changes if we want to...

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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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