Serverless Data Processing with Dataflow - Batch Analytics Pipelines with Dataflow (Python) Reviews

6784 reviews

Evelyne Sorina P. · Reviewed больше 3 лет ago

good

Divyansh R. · Reviewed больше 3 лет ago

Alexander M. · Reviewed больше 3 лет ago

Felipe C. · Reviewed больше 3 лет ago

I'd rate this lab 0 if I could. This lab has too many errors. Also the speaker in all the videos isn't easy to understand and the closed captioning is not picking up words correctly. For example, trigger is showing up as three years. Also, "Butterbean" showed up in the cc. Not sure what the speaker was trying to say here.

Phil P. · Reviewed больше 3 лет ago

Resmi A. · Reviewed больше 3 лет ago

Matias B. · Reviewed больше 3 лет ago

first steps already give errors....Please fix it

Giacomo F. · Reviewed больше 3 лет ago

Maksim K. · Reviewed больше 3 лет ago

Several commands failed. I had to manually add the Dataflow Worker role to the Compute Engine service account. I copy/pasted the solution for the batch_user_traffic_pipeline.py and still got a JSON parsing error

C.J. G. · Reviewed больше 3 лет ago

Rodrigo G. · Reviewed больше 3 лет ago

Harry D. · Reviewed больше 3 лет ago

Hariprabhaa M. · Reviewed больше 3 лет ago

jared l. · Reviewed больше 3 лет ago

Bhuvana Phaneendra D. · Reviewed больше 3 лет ago

nice

Vishwajit K. · Reviewed больше 3 лет ago

Harry Z. · Reviewed больше 3 лет ago

Mikhail M. · Reviewed больше 3 лет ago

Robert C. · Reviewed больше 3 лет ago

Matias B. · Reviewed больше 3 лет ago

Pradip K. · Reviewed больше 3 лет ago

Pradip K. · Reviewed больше 3 лет ago

Some potential improvements/updates: Part 1, Task 1, Step 1: >> sudo apt-get install -y python3-venv Getting errors: E: Could not get lock /var/lib/dpkg/lock-frontend - open (11: Resource temporarily unavailable) E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), is another process using it? User may need to wait for dpkg lock to be released. Waiting few minutes and executing again leads to success. Nice if a comment could be included in the lab. Part 1, Task 1, Step 4: >> gcloud projects add-iam-policy-binding $PROJECT_ID --member="serviceAccount:${serviceAccount}" --role="roles/dataflow.worker" ERROR: (gcloud.projects.add-iam-policy-binding) User [140534685022-compute@developer.gserviceaccount.com] does not have permission to access projects instance [qwiklabs-gcp-02-cd14e0f052e2:setIamPolicy] (or it may not exist): Policy update access denied. The command is successful from Cloud Shell. Nice if this could be indicated in the lab.

Felipe A. · Reviewed больше 3 лет ago

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