Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews
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    Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews

    7967 reviews

    Syed Dameem K. · Reviewed 15 days ago

    Mickayle R. · Reviewed 15 days ago

    Zhigang Y. · Reviewed 15 days ago

    Ronaldo P. · Reviewed 15 days ago

    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. · Reviewed 16 days ago

    Centli Allan G. · Reviewed 16 days ago

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    Amit G. · Reviewed 16 days ago

    Lucas O. · Reviewed 16 days ago

    Geo J. · Reviewed 17 days ago

    Bhavya Devisri S. · Reviewed 17 days ago

    Çağrı K. · Reviewed 17 days ago

    neha a. · Reviewed 17 days ago

    neha a. · Reviewed 17 days ago

    Rekha K. · Reviewed 17 days ago

    AjithKumar P. · Reviewed 17 days ago

    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. · Reviewed 17 days ago

    Rahul P. · Reviewed 17 days ago

    SAIKUMAR K. · Reviewed 17 days ago

    Max M. · Reviewed 18 days ago

    python works unlike java Dataflow lab. 20241211

    Ganesh M. · Reviewed 18 days ago

    Lucila A. · Reviewed 18 days ago

    Ranjith G. · Reviewed 18 days ago

    Kuldeep B. · Reviewed 18 days ago

    Rosann G. · Reviewed 18 days ago

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