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Building data pipelines with Python : understanding pipeline frameworks, workflow automation, and Python toolsets /
"This course shows you how to build data pipelines and automate workflows using Python 3. From simple task-based messaging queues to complex frameworks like Luigi and Airflow, the course delivers the essential knowledge you need to develop your own automation solutions. You'll learn the ar...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Jarmul, Katherine, |e speaker. | |
| 245 | 1 | 0 | |a Building data pipelines with Python : |b understanding pipeline frameworks, workflow automation, and Python toolsets / |c with Katherine Jarmul. |
| 246 | 3 | 0 | |a Understanding pipeline frameworks, workflow automation, and Python toolsets |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c 2016. | |
| 300 | |a 1 online resource (1 streaming video file (3 hr., 40 min., 56 sec.)) : |b digital, sound, color | ||
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| 500 | |a Title from resource description page (viewed December 20, 2016). | ||
| 511 | 0 | |a Presenter, Katherine Jarmul. | |
| 520 | |a "This course shows you how to build data pipelines and automate workflows using Python 3. From simple task-based messaging queues to complex frameworks like Luigi and Airflow, the course delivers the essential knowledge you need to develop your own automation solutions. You'll learn the architecture basics, and receive an introduction to a wide variety of the most popular frameworks and tools. Designed for the working data professional who is new to the world of data pipelines and distributed solutions, the course requires intermediate level Python experience and the ability to manage your own system set-ups."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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