Traitement ETL sur Google Cloud avec Dataflow et BigQuery (Python) avis

80583 avis

Sergey B. · Examiné il y a environ 7 ans

shit lab. full of bugs. did it 3 times and cant ever complete. slow spinning up and down of workers. atrocious. and such limited time. and there is issue recognising tasks i have already completed.

Decki K. · Examiné il y a environ 7 ans

Copy Files to Your Bucket - should mention to wait until the instance has been created since the files may file to be copied in the next step Step 5 - Data lake to Mart; Step 6 - Data lake to Mart CoGroupByKey - got quota warning (needed 4 workers while obtained only 2 - also got report on space quota issue indicating more than 500 GB is required Lab time is very short - I barely finished just to run all the jobs with no time to review the python code.

Surasak W. · Examiné il y a environ 7 ans

buthapati M. · Examiné il y a environ 7 ans

Imran S. · Examiné il y a environ 7 ans

Nikhil M. · Examiné il y a environ 7 ans

Soumyadeep S. · Examiné il y a environ 7 ans

Hariharan S. · Examiné il y a environ 7 ans

very nice. I was able to run dataflow command on console. bigquery table hasn't created though

Kanto R. · Examiné il y a environ 7 ans

Good Intro to Dataflow.. One Pipeline with Batch and one with streaming would have been enough to show it rather than multiple batches

Jose Jonathan P. · Examiné il y a environ 7 ans

Yung T. · Examiné il y a environ 7 ans

Jiuqing C. · Examiné il y a environ 7 ans

Apurv c. · Examiné il y a environ 7 ans

Ananda B. · Examiné il y a environ 7 ans

Deepanshu G. · Examiné il y a environ 7 ans

divya sree d. · Examiné il y a environ 7 ans

Jaya Phani Akhil G. · Examiné il y a environ 7 ans

Zheng Zhi P. · Examiné il y a environ 7 ans

Satisfied

PRINCY N. · Examiné il y a environ 7 ans

Was pushed for time, because the teardown takes so long, so had to keep an eye on the progress which distracts from reading the code.

Nicholas D. · Examiné il y a environ 7 ans

Pajjuri B. · Examiné il y a environ 7 ans

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