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

11006 reviews

Sujal R. · Reviewed 10 месяцев ago

Desai Ishan B. · Reviewed 10 месяцев ago

Mayank J. · Reviewed 10 месяцев ago

Nitesh R. · Reviewed 10 месяцев ago

good ig

Utkarsh Raghav G. · Reviewed 10 месяцев ago

Subasish M. · Reviewed 10 месяцев ago

Sejal P. · Reviewed 10 месяцев ago

Rikta G. · Reviewed 10 месяцев ago

Suvankar D. · Reviewed 10 месяцев ago

Samir Kumar M. · Reviewed 10 месяцев ago

Priyadeep M. · Reviewed 10 месяцев ago

Shreepriya K. · Reviewed 10 месяцев ago

PADMA M. · Reviewed 10 месяцев ago

SURYA NARAYAN DASH G. · Reviewed 10 месяцев ago

Rutuja C. · Reviewed 10 месяцев ago

Pushpendra G. · Reviewed 10 месяцев ago

Udayraje B. · Reviewed 10 месяцев ago

Prashant S. · Reviewed 10 месяцев ago

Akash y. · Reviewed 10 месяцев ago

Sourya P. · Reviewed 10 месяцев ago

599 Brahma G. · Reviewed 10 месяцев ago

The content of the lab is excellent and a very good way of learning how to configure a Dataflow pipeline. But when I try to run the pipelines in the dataflow service, it throws an error "Startup of the worker pool in zone us-central1-c failed to bring up any of the desired 1 workers. ZONE_RESOURCE_POOL_EXHAUSTED. The zone 'projects/qwiklabs-gcp-00-369d3ab044ce/zones/us-central1-c' does not have enough resources available to fulfill the request. Try a different zone, or try again later." Without running the pipeline, I can't check my progress and the lab is not marked as completed, even though I went through all the steps.

María Azul L. · Reviewed 10 месяцев ago

Nirbhay S. · Reviewed 10 месяцев ago

SAILIK P. · Reviewed 10 месяцев ago

Prasanna D. · Reviewed 10 месяцев ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.