关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价
10956 条评价
The lab itself was amazing, and I would give 5 stars if I wouldn't have encountered a small bug. The "Check my progress" box of Lab part 2, Task 1 was buggy for me. When I first completed this task, it reported a task failure despite the schema file being in the correct GCS bucket. I then solved the remaining tasks, which I could complete successfully with the schema from Task 1. After having completed all tasks, I started the failing check for Task 1 again. At this point, the check succeeded without me having changed anything about my solution.
Christian Z. · 已于 11 months前审核
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Bhavya Devisri S. · 已于 11 months前审核
Çağrı K. · 已于 11 months前审核
neha a. · 已于 11 months前审核
neha a. · 已于 11 months前审核
Rekha K. · 已于 11 months前审核
AjithKumar P. · 已于 11 months前审核
I got this error Could not create legacy instance: The resource 'projects/deeplearning-platform-release/global/images/family/dataflow-container-ubuntu-2004-ubuntu-2004' was not found
Maria Catalina H. · 已于 11 months前审核
Rahul P. · 已于 11 months前审核
SAIKUMAR K. · 已于 11 months前审核
Max M. · 已于 11 months前审核
python works unlike java Dataflow lab. 20241211
Ganesh M. · 已于 11 months前审核
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Ranjith G. · 已于 11 months前审核
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Rosann G. · 已于 11 months前审核
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Tulio D. · 已于 11 months前审核
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Ramana M. · 已于 11 months前审核
Charles C. · 已于 11 months前审核
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