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You're reading from  Building Data Streaming Applications with Apache Kafka

Product typeBook
Published inAug 2017
PublisherPackt
ISBN-139781787283985
Edition1st Edition
Tools
Kafka
Concepts
Data Analysis
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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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Summary

We walked you through some of the aspects of using Kafka in big data applications. By the end of this chapter, you should have clear understanding of how to use Kafka in big data Applications. Volume is one of the important aspects of any big data application. Therefore, we have a dedicated section for it in this chapter, because you are required to pay attention to granular details while managing high volumes in Kafka. Delivery semantics is another aspect you should keep in mind. Based on your choice of delivery semantics, your processing logic would differ. Additionally, we covered some of the best ways of handling failures without any data loss and some of the governance principles that can be applied while using Kafka in big data pipeline. We gave you an understanding of how to monitor Kafka and what some of the useful Kafka matrices are. You learned a good detail...

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Building Data Streaming Applications with Apache Kafka
Published in: Aug 2017Publisher: PacktISBN-13: 9781787283985
© 2017 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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