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Streaming Systems: The What, Where, When, and how of Large-Scale Data Processing (en Inglés)
Tyler Akidau; Slava Chernyak; Reuven Lax (Autor)
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O'reilly Media, Inc, Usa
· Tapa Blanda
Streaming Systems: The What, Where, When, and how of Large-Scale Data Processing (en Inglés) - Tyler Akidau; Slava Chernyak; Reuven Lax
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Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Miércoles 29 de Mayo y el
Viernes 07 de Junio.
Lo recibirás en cualquier lugar de Argentina entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Streaming Systems: The What, Where, When, and how of Large-Scale Data Processing (en Inglés)"
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 Akidau’s popular blog posts "Streaming 101" and "Streaming 102", 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. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax.You’ll 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
