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

di Tyler Akidau (Autore)

Slava Chernyak (Autore)

Reuven Lax (Autore)

O'Reilly Media, 2018

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 compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra

• Autore: Tyler Akidau, Slava Chernyak, Reuven Lax
• Editore: O'Reilly Media
• Anno: 2018
• Rilegatura: Paperback / softback
• Pagine: 200 p.
• Dimensioni: 250 x 150 mm
• Peso: 666 gr.
• EAN: 9781491983874

Testo in English