Streaming systems : the what, where, when, and how of large-scale data processing / Tyler Akidau, Slava Chernyak, Reuven Lax
Contributor(s): Chernyak, Slava [author] | Lax, Reuven [author].Publisher: Sebastopol, CA : O'Reilly, ©2018Edition: First edition.Description: 329 pages ; illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781491983874.Subject(s): Streaming technology (Telecommunications) | Electronic data processing -- Distributed processing | Big dataGenre/Form: Print books.
|Current location||Call number||Status||Date due||Barcode||Item holds|
|On Shelf||TK5105.386 .A55 2018 (Browse shelf)||Available||AU00000000014300|
Browsing Alfaisal University Shelves , Shelving location: On Shelf Close shelf browser
|TK5105 .P744 2013 Contemporary communication systems using MATLAB /||TK5105 .Z54 2014 Principles of communication : systems, modulation, and noise /||TK5105.15 .R363 2014 Wireless multimedia communication systems : design, analysis, and implementation /||TK5105.386 .A55 2018 Streaming systems : the what, where, when, and how of large-scale data processing /||TK5105.386 .A73 2018 Visualizing streaming data : interactive analysis beyond static limits /||TK5105.5 .C643 2018 System architecture : an ordinary engineering discipline /||TK5105.5 .I58 2018 Introduction to computer networking /|
Preface Or: What Are You Getting Yourself Into Here? -- Part 1. The beam model. Streaming 101 -- The what, where, when, and how of data processing -- Watermarks -- Advanced windowing -- Exactly-once and side effects -- Part 2. Streams and tables. Streams and tables -- The practicalities of persistent state -- Streaming SQL -- Streaming joints -- The evolution of large-scale data processing
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