ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

It is a best lab!~

승남 왕. · Reviewed בערך 7 שנים ago

CG K. · Reviewed בערך 7 שנים ago

AASTHA A. · Reviewed בערך 7 שנים ago

Britter Johagen Q. · Reviewed בערך 7 שנים ago

Bill B. · Reviewed בערך 7 שנים ago

Daniel B. · Reviewed בערך 7 שנים ago

Vadim V. · Reviewed בערך 7 שנים ago

Alexis T. · Reviewed בערך 7 שנים ago

A little too much copy paste and would like more learning material.

Michael G. · Reviewed בערך 7 שנים ago

Federico F. · Reviewed בערך 7 שנים ago

Done

Carlos L. · Reviewed בערך 7 שנים ago

Huzaen J. · Reviewed בערך 7 שנים ago

Puneet C. · Reviewed בערך 7 שנים ago

Wei Lun K. · Reviewed בערך 7 שנים ago

Ankit G. · Reviewed בערך 7 שנים ago

Puneet C. · Reviewed בערך 7 שנים ago

Chun Yu C. · Reviewed בערך 7 שנים ago

Good but little slow

Eli K. · Reviewed בערך 7 שנים ago

Sridhar E. · Reviewed בערך 7 שנים ago

The lab needs more time. There is just enough time to give a quick read of the python code files. An additional 30 min should be good. The explanation in Step5 & Step6 (see below) just repeat of that from the Step2. Adding a block diagram like in the DataFlow charts would be good. You will now build a Dataflow pipeline with a TextIO source and a BigQueryIO destination to ingest data into BigQuery. More specifically, it will: Ingest the files from GCS. Filter out the header row in the files. Convert the lines read to dictionary objects. Output the rows to BigQuery.

Sreedevi G. · Reviewed בערך 7 שנים ago

Punyanuch S. · Reviewed בערך 7 שנים ago

Andrew Z. · Reviewed בערך 7 שנים ago

Dataflow is long shutting down worker it may longer than 3 min calculate to 50% of all processes that's very inefficiency.

Thatchapoom T. · Reviewed בערך 7 שנים ago

Graciela G. · Reviewed בערך 7 שנים ago