Tyler Akidau

Streaming Systems (eBook, ePUB)

The What, Where, When, and How of Large-Scale Data Processing

• Format: ePub

Produktbeschreibung

Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way.Expanded from Tyler Akidaus popular blog posts "e;Streaming 101"e; and "e;Streaming 102"e;, this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. Youll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax.Youll explore:How streaming and batch data processing patterns compareThe core principles and concepts behind robust out-of-order data processingHow watermarks track progress and completeness in infinite datasetsHow exactly-once data processing techniques ensure correctnessHow the concepts of streams and tables form the foundations of both batch and streaming data processingThe practical motivations behind a powerful persistent state mechanism, driven by a real-world exampleHow time-varying relations provide a link between stream processing and the world of SQL and relational algebra

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 352
• Erscheinungstermin: 16. Juli 2018
• Englisch
• ISBN-13: 9781491983829
• Artikelnr.: 53465189

Autorenporträt

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 in 2013 and the in 2015. When not at work, Reuven enjoys swing dancing, rock climbing, and exploring new parts of the world.