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You're reading from  Mastering Hadoop 3

Product typeBook
Published inFeb 2019
Reading LevelExpert
PublisherPackt
ISBN-139781788620444
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Processing
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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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Data compression

Many of us have been working on many big data projects and have used a wide range of frameworks and tools to solve customer problems. Bringing the data to distributed storage is the first step of data processing. If you have ever observed that in the case of Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT), the first step is to extract the data and bring it in for processing. A storage system has a cost associated with it and we always want to store more data in less storage space. The big data processing happens over massive amounts of data, which may cause I/O and network bottlenecks. The shuffling of data across the network is always a painful, time-consuming process that burns significant amounts of processing time.

 

 

Here is how compression can help us in different ways:

  • Less storage: A storage system comes with a significant amount of cost associated with it. Companies are moving toward the cloud, and even if we have to pay less for storage over the cloud...
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Mastering Hadoop 3
Published in: Feb 2019Publisher: PacktISBN-13: 9781788620444
© 2019 Packt Publishing Limited All Rights Reserved

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

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