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Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing by [Tyler Akidau, Slava Chernyak, Reuven Lax]

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Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing 1st Edition, Kindle Edition

4.3 out of 5 stars 81 ratings

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Product description

About the Author

Tyler Akidau is a senior staff software engineer at Google, where he is the technical lead for the Data Processing Languages & Systems group, responsible for Google's Apache Beam efforts, Google Cloud Dataflow, and internal data processing tools like Google Flume, MapReduce, and MillWheel. His also a founding member of the Apache Beam PMC. Though deeply passionate and vocal about the capabilities and importance of stream processing, he is also a firm believer in batch and streaming as two sides of the same coin, with the real endgame for data processing systems the seamless merging between the two. He is the author of the 2015 Dataflow Model paper and the Streaming 101 and Streaming 102 articles on the O'Reilly website. His preferred mode of transportation is by cargo bike, with his two young daughters in tow.



Slava Chernyak is a senior software engineer at Google Seattle. Slava spent over five years working on Google's internal massive-scale streaming data processing systems and has since become involved with designing and building Windmill, Google Cloud Dataflow's next-generation streaming backend, from the ground up. Slava is passionate about making massive-scale stream processing available and useful to a broader audience. When he is not working on streaming systems, Slava is out enjoying the natural beauty of the Pacific Northwest.



Reuven Lax is a senior staff software engineer at Google Seattle, and has spent the past nine years helping to shape Google's data processing and analysis strategy. For much of that time he has focused on Google's low-latency, streaming data processing efforts, first as a long-time member and lead of the MillWheel team, and more recently founding and leading the team responsible for Windmill, the next-generation stream processing engine powering Google Cloud Dataflow. He's very excited to bring Google's data-processing experience to the world at large, and proud to have been a part of publishing both the MillWheel paper in 2013 and the Dataflow Model paper in 2015. When not at work, Reuven enjoys swing dancing, rock climbing, and exploring new parts of the world.

--This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B07FMDY5CC
  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (16 July 2018)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 14074 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 352 pages
  • Page numbers source ISBN ‏ : ‎ 1491983876
  • Customer Reviews:
    4.3 out of 5 stars 81 ratings

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Raven
2.0 out of 5 stars La calidad de la impresión deja mucho que desear
Reviewed in Spain on 31 August 2020
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2.0 out of 5 stars La calidad de la impresión deja mucho que desear
Reviewed in Spain on 31 August 2020
Me ha llegado hoy el libro, puedo decir que la edición del libro es de muy baja calidad para su precio. Por 50 euros espero hojas plastificadas y gráficas definidas. Como se ve en las imágenes las gráficas están borrosas. Parece un pdf impreso con muy poca definición. Si el libro tuviera un valor de 20 euros lo entendería.
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The Seeker
5.0 out of 5 stars Buy this book
Reviewed in Canada on 24 July 2019
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Himanshu Sachdeva
1.0 out of 5 stars Printing issue: Two half books merged into one
Reviewed in India on 16 November 2019
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1.0 out of 5 stars Printing issue: Two half books merged into one
Reviewed in India on 16 November 2019
From Page 33 onwards, the pages are from a different book. They actually talk about javascript and typescript.
Even it's different from index. Need to return the book.
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Shetti
1.0 out of 5 stars Wrong Book: DO NOT BUY, Return is impossible
Reviewed in India on 23 December 2019
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Prashant Nair
1.0 out of 5 stars Duplicate?
Reviewed in India on 7 July 2019
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