关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

Zhigang Y. · 评论20 days之前

Ronaldo P. · 评论20 days之前

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. · 评论20 days之前

Centli Allan G. · 评论20 days之前

KAVYA V. · 评论21 days之前

Amit G. · 评论21 days之前

Lucas O. · 评论21 days之前

Geo J. · 评论21 days之前

Bhavya Devisri S. · 评论21 days之前

Çağrı K. · 评论21 days之前

neha a. · 评论21 days之前

neha a. · 评论22 days之前

Rekha K. · 评论22 days之前

AjithKumar P. · 评论22 days之前

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. · 评论22 days之前

Rahul P. · 评论22 days之前

SAIKUMAR K. · 评论22 days之前

Max M. · 评论22 days之前

python works unlike java Dataflow lab. 20241211

Ganesh M. · 评论22 days之前

Lucila A. · 评论22 days之前

Ranjith G. · 评论23 days之前

Kuldeep B. · 评论23 days之前

Rosann G. · 评论23 days之前

a

Lander C. · 评论23 days之前

Vanessa R. · 评论23 days之前