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Stream processing beyond streaming data /
"Stream processing is becoming something like a 'grand unifying paradigm' for data processing. Outgrowing its original space of real-time data processing, stream processing is becoming a technology that offers new approaches to data processing (including batch processing), real-time a...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Ewen, Stephan, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Stream processing beyond streaming data / |c Stephan Ewen. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c 2019. | |
| 300 | |a 1 online resource (1 streaming video file (39 min., 48 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 511 | 0 | |a Presenter, Stephan Ewen. | |
| 500 | |a Title from title screen (viewed July 24, 2020). | ||
| 520 | |a "Stream processing is becoming something like a 'grand unifying paradigm' for data processing. Outgrowing its original space of real-time data processing, stream processing is becoming a technology that offers new approaches to data processing (including batch processing), real-time applications, and even distributed transactions. Stephan Ewen (Ververica) dives into these developments from the view of Apache Flink and presents some of the major efforts in the Flink community to build a unified stream processor data processing and data-driven applications. Flink already powers many of the world's most demanding stream processing applications. He explores the approach of Flink's next-generation streaming runtime that offers a state-of-the-art batch processing experience and performance. A new machine learning library, built on top of a unique new API, supports many algorithms to train dynamically across static and real-time data. And he examines the new building blocks stream processing offers for data-driven applications that open a new direction to solve application consistency. You'll see use cases from different users, showing how companies apply this broader streaming paradigm in practice. This session is from the 2019 O'Reilly Strata Conference in New York, NY."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 611 | 2 | 0 | |a O'Reilly Strata Data Conference |d (2019 : |c New York, N.Y.) |
| 650 | 0 | |a Real-time data processing. | |
| 650 | 0 | |a Application program interfaces (Computer software) | |
| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 6 | |a Temps réel (Informatique) | |
| 650 | 6 | |a Interfaces de programmation d'applications. | |
| 650 | 6 | |a Traitement réparti. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a APIs (interfaces) |2 aat | |
| 650 | 7 | |a Application program interfaces (Computer software) |2 fast |0 (OCoLC)fst00811704 | |
| 650 | 7 | |a Application software |x Development |2 fast |0 (OCoLC)fst00811707 | |
| 650 | 7 | |a Electronic data processing |x Distributed processing |2 fast |0 (OCoLC)fst00906987 | |
| 650 | 7 | |a Real-time data processing |2 fast |0 (OCoLC)fst01091219 | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/0636920372127/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||