Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing
Mega Sale! Save 21% on the Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing by O'Reilly Media at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. 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 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.
- 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
|Item Size:||0.73 x 9.19 x 9.19 inches|
|Package Weight:||1.28 pounds|
|Package Size:||7.01 x 0.71 x 0.71 inches|