Reader small image

You're reading from  Mastering Hadoop 3

Product typeBook
Published inFeb 2019
Reading LevelExpert
PublisherPackt
ISBN-139781788620444
Edition1st Edition
Languages
Tools
Right arrow
Authors (2):
Chanchal Singh
Chanchal Singh
author image
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.
Read more about Chanchal Singh

Manish Kumar
Manish Kumar
author image
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).
Read more about Manish Kumar

View More author details
Right arrow

Summary


This chapter focused on YARN and its components. We covered various concepts, such as YARN architecture and resource manager HA in detail. We then went through YARN schedulers and how they work. We also covered some basic configurations for the scheduler and explained when to use what. The primary focus was to introduce the new features that have been added to Hadoop version 3. Thus, we covered the opportunist container and the Timeline server. In the last part, we went through the Docker container executor and a few commonly used Hadoop commands.  In the next chapter, we will cover MapReduce processing in detail, we will deep dive into MapReduce flow, and will look into each step in detail. We will go through different examples and look into a few techniques to improve the performance of applications. 

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Mastering Hadoop 3
Published in: Feb 2019Publisher: PacktISBN-13: 9781788620444

Authors (2)

author image
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.
Read more about Chanchal Singh

author image
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).
Read more about Manish Kumar