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Streaming Systems The What, Where, When, and How of Large-Scale Data Processing【電子書籍】 Tyler Akidau
 

商品の説明

  • <p>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.</p> <p>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.</p> <p>You’ll explore:</p> <ul> <li>How streaming and batch data processing patterns compare</li> <li>The core principles and concepts behind robust out-of-order data processing</li> <li>How watermarks track progr...
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