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Trill : the crown jewel of Microsoft's streaming pipeline explained /
"The Trill data engine is the power behind many of Microsoft's offerings, from products like Azure Stream Analytics to billion-dollar services like Bing Ads. It has now been open-sourced and is available to everyone. But it has been a long path to get there. James Terwilliger, Badrish Chan...
| 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 Terwilliger, James, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Trill : |b the crown jewel of Microsoft's streaming pipeline explained / |c James Terwilliger, Badrish Chandramouli, Jonathan Goldstein. |
| 246 | 3 | 0 | |a Crown jewel of Microsoft's streaming pipeline explained |
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| 511 | 0 | |a Presenters, James Terwilliger, Badrish Chandramouli, Jonathan Goldstein. | |
| 500 | |a Title from title screen (viewed July 23, 2020). | ||
| 520 | |a "The Trill data engine is the power behind many of Microsoft's offerings, from products like Azure Stream Analytics to billion-dollar services like Bing Ads. It has now been open-sourced and is available to everyone. But it has been a long path to get there. James Terwilliger, Badrish Chandramouli, and Jonathan Goldstein explore the history of decades of streaming data processing at Microsoft: a beginning in research, a first product in StreamInsight, the transition to the cloud, and all the pain points along the way. A key result of that lineage and learning has been the Trill engine, which has three key properties a single standalone data processing engine for all temporal data, no matter if the data is streamed or stored; a simple API that integrates seamlessly with the programming language; and performance without ego, a willingness to use every lesson learned to improve throughput in every way possible. They dive deep into why each of those properties is important through examples. A simple application to demonstrate the basics of Trill: joins, aggregation, windowing; a more complicated application to demonstrate the power of Trill's API: progressive windowing, regular expressions and pattern detection, data-dependent windows; and an overview of the kind of query used by Bing Ads, a query to run a multi-billion-dollar business. You'll see a performance showcase: running the previous examples to demonstrate how Trill got its name--processing a trillion events per day on a single node. This session is from the 2019 O'Reilly Strata Conference in New York, NY."--Resource description page | ||
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| 610 | 2 | 0 | |a Microsoft Research. |
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| 650 | 0 | |a Application program interfaces (Computer software) | |
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| 700 | 1 | |a Chandramouli, Badrish, |e on-screen presenter. | |
| 700 | 1 | |a Goldstein, Jonathan, |e on-screen presenter. | |
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