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You're reading from  Mastering Hadoop 3

Product typeBook
Published inFeb 2019
Reading LevelExpert
PublisherPackt
ISBN-139781788620444
Edition1st Edition
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Authors (2):
Chanchal Singh
Chanchal Singh
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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
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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).
Read more about Manish Kumar

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Points to remember


We have covered the HDFS in detail and the following are a few points to remember:

  • HDFS consists of two main components: NameNode and DataNode. NameNode is a master node that stores metadata information, whereas DataNodes are slave nodes that store file blocks.
  • Secondary NameNode is responsible for performing checkpoint operations in which edit log changes are applied to fsimage. This is also known as a checkpoint node.
  • Files in HDFS are split into blocks and blocks are replicated across a number of DataNodes to ensure fault tolerance. The replication factor and block size are configurable.
  • HDFS Balancer is used to distribute data in an equal fashion between all DataNodes. It is a good practice to run balancer whenever a new DataNode is added and schedule a job to run balancer at regular intervals.
  • In Hadoop 3, high availability can now have more than two NameNodes running at a time. If an active NameNode fails, a new NameNode will be elected from an other NameNode and will...
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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