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Big Data: Principles and Best Practices of Scalable Realtime Data Systems
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Big Data: Principles and Best Practices of Scalable Realtime Data Systems Paperback - 2015

by Nathan Marz; James Warren


Details

  • Title Big Data: Principles and Best Practices of Scalable Realtime Data Systems
  • Author Nathan Marz; James Warren
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Pages 328
  • Volumes 1
  • Language ENG
  • Publisher Manning Publications
  • Date 2015-05
  • ISBN 9781617290343 / 1617290343
  • Weight 1.29 lbs (0.59 kg)
  • Dimensions 9.25 x 7.38 x 0.6 in (23.50 x 18.75 x 1.52 cm)
  • Dewey Decimal Code 005.7

About the author

Nathan Marz is currently working on a new startup. Previously, he was the lead engineer at BackType before being acquired by Twitter in 2011. At Twitter, he started the streaming compute team which provides and develops shared infrastructure to support many critical realtime applications throughout the company. Nathan is the creator of Cascalog and Storm, open-source projects which are relied upon by over 50 companies around the world, including Yahoo!, Twitter, Groupon, The Weather Channel, Taobao, and many more companies.

James Warren is an analytics architect at Storm8 with a background in big data processing, machine learning and scientific computing.

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BIG DATA: PRINCIPLES AND BEST PRACTICES OF SCALABLE REAL-TIME DATA SYSTEMS

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Big Data: Principles and best practices of scalable realtime data systems
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Big Data: Principles and best practices of scalable realtime data systems

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