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Mastering Mesos

You're reading from   Mastering Mesos The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886249
Length 352 pages
Edition 1st Edition
Tools
Concepts
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Authors (2):
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Dubhashi Dubhashi
Author Profile Icon Dubhashi
Dubhashi
Dipa Dubhashi is an alumnus of the prestigious Indian Institute of Technology and heads product management at Sigmoid. His prior experience includes consulting with ZS Associates besides founding his own start-up. Dipa specializes in envisioning enterprise big data products, developing their roadmaps, and managing their development to solve customer use cases across multiple industries. He advises several leading start-ups as well as Fortune 500 companies about architecting and implementing their next-generation big data solutions. Dipa has also developed a course on Apache Spark for a leading online education portal and is a regular speaker at big data meetups and conferences.
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Das Das
Author Profile Icon Das
Das
Akhil Das is a senior software developer at Sigmoid primarily focusing on distributed computing, real-time analytics, performance optimization, and application scaling problems using a wide variety of technologies such as Apache Spark and Mesos, among others. He contributes actively to the Apache Spark project and is a regular speaker at big data conferences and meetups, MesosCon 2015 being the most recent one.
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Toc

Table of Contents (16) Chapters Close

Mastering Mesos
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Introducing Mesos FREE CHAPTER 2. Mesos Internals 3. Getting Started with Mesos 4. Service Scheduling and Management Frameworks 5. Mesos Cluster Deployment 6. Mesos Frameworks 7. Mesos Containerizers 8. Mesos Big Data Frameworks 9. Mesos Big Data Frameworks 2 Index

Chapter 8. Mesos Big Data Frameworks

This chapter is a guide to deploy important big data processing frameworks, such as Hadoop, Spark, Storm, and Samza, on top of Mesos.

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Authors (2)

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Profile icon Dubhashi
Dubhashi
Dipa Dubhashi is an alumnus of the prestigious Indian Institute of Technology and heads product management at Sigmoid. His prior experience includes consulting with ZS Associates besides founding his own start-up. Dipa specializes in envisioning enterprise big data products, developing their roadmaps, and managing their development to solve customer use cases across multiple industries. He advises several leading start-ups as well as Fortune 500 companies about architecting and implementing their next-generation big data solutions. Dipa has also developed a course on Apache Spark for a leading online education portal and is a regular speaker at big data meetups and conferences.
Read more
See other products by Dubhashi
Profile icon Das
Das
Akhil Das is a senior software developer at Sigmoid primarily focusing on distributed computing, real-time analytics, performance optimization, and application scaling problems using a wide variety of technologies such as Apache Spark and Mesos, among others. He contributes actively to the Apache Spark project and is a regular speaker at big data conferences and meetups, MesosCon 2015 being the most recent one.
Read more
See other products by Das
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