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Introduction to PySpark : from transformations and actions to performance--using the Spark Python API /
"With Early Release video training, you get videos as they're being developed so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters as they're edited, and the f...
| Clasificación: | Libro Electrónico |
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| 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) |
| Sumario: | "With Early Release video training, you get videos as they're being developed so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters as they're edited, and the final video. In this Introduction to PySpark training course, expert author Alex Robbins will teach you everything you need to know about the Spark Python API. This course is designed for users that already have a basic working knowledge of Python. You will start by learning how to install Spark, then jump into learning the Spark fundamentals. From there, Alex will teach you about transformations, including filter, pipe, repartition, and distinct. This video tutorial also covers actions, input and output, performance, and running on a cluster. Finally, you will learn advanced topics, including Spark streaming, dataframes and SQL, and MLlib. Once you have completed this computer based training course, you will have learned everything you need to know about PySpark. Working files are included, allowing you to follow along with the author throughout the lessons. "--Resource description page. |
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| Notas: | Title from title screen (viewed December 29, 2015). Date of publication from resource description page. |
| Descripción Física: | 1 online resource (1 streaming video file (48 min., 23 sec.)) : digital, sound, color |