关于“Serverless Data Analysis with Beam: MapReduce in Beam (Python)”的评价

Andrés C. · 已于 about 5 years前审核

Marco A. · 已于 about 5 years前审核

it would be nicer if there are answer for the following questions: questions about the file is_popular.py What custom arguments are defined? What is the default output prefix? How is the variable output_prefix in main() set? How are the pipeline arguments such as --runner set? What are the key steps in the pipeline? Which of these steps happen in parallel? Which of these steps are aggregations?

yogesh k. · 已于 about 5 years前审核

Eva L. · 已于 about 5 years前审核

nice content

Harathi V. · 已于 about 5 years前审核

this is not executing in dataflow but in apache airbeam standalone

Nicolas L. · 已于 about 5 years前审核

karthik p. · 已于 about 5 years前审核

William H. · 已于 about 5 years前审核

I still don't feel like I am learning too quickly about how to get started using dataflow. Maybe a short assignment from scratch would be useful

Daniel W. · 已于 about 5 years前审核

Xiaoyu C. · 已于 about 5 years前审核

Xiaoyu C. · 已于 about 5 years前审核

Arunkumar K. · 已于 about 5 years前审核

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JOUNGWOONG R. · 已于 about 5 years前审核

예원 조. · 已于 about 5 years前审核

Gandluru, H. · 已于 about 5 years前审核

Ramabrahmam L. · 已于 about 5 years前审核

Mulyo S. · 已于 about 5 years前审核

Florian K. · 已于 about 5 years前审核

EDIPO S. · 已于 about 5 years前审核

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Pradnya S. · 已于 about 5 years前审核

Johnson L. · 已于 about 5 years前审核

Tony J. · 已于 about 5 years前审核

Mourjo S. · 已于 about 5 years前审核