Da: Greenway, Chattanooga, TN, U.S.A.
paperback. Condizione: Very good condition. very clean,fast ship.
Da: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Da: thebookforest.com, San Rafael, CA, U.S.A.
Condizione: Like New. paperback. Text block, wrappers and binding are in like new condition, without markings of any kind. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 36,27
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Da: Archives Books inc., Edmond, OK, U.S.A.
paperback. Condizione: Very Good. No markings on text. No CD or Access code. Historic Oklahoma Bookstore on Route 66. Packages shipped daily, Mon-Friday.
EUR 50,90
Quantità: 12 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
EUR 67,18
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,89
Quantità: 9 disponibili
Aggiungi al carrelloCondizione: New.
EUR 70,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,57
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 70,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 55,52
Quantità: 2 disponibili
Aggiungi al carrellopaperback. Condizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 79,96
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,72
Quantità: 9 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 72,33
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 105,56
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 100 pages. 9.50x7.25x0.75 inches. In Stock.
EUR 68,34
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 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.Über den AutorrnrnTyler Akidau is a senior staff software engineer a.
EUR 62,10
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 71,92
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 100 pages. 9.50x7.25x0.75 inches. In Stock. This item is printed on demand.