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

Hector R. · 8개월 전에 리뷰됨

Renold N. · 8개월 전에 리뷰됨

Shivji T. · 8개월 전에 리뷰됨

Prerna J. · 8개월 전에 리뷰됨

Lazard T. · 8개월 전에 리뷰됨

The region and environment prescribed in the instruction are not available.

thierry c. · 8개월 전에 리뷰됨

Stefano G. · 8개월 전에 리뷰됨

Aphiwe R. · 8개월 전에 리뷰됨

Carlos Henrique G. · 8개월 전에 리뷰됨

Bill K. · 8개월 전에 리뷰됨

Denis K. · 8개월 전에 리뷰됨

Jeeva P. · 8개월 전에 리뷰됨

There is a problem with schema in the task 5/6

Pawel J. · 8개월 전에 리뷰됨

KOTESWARA NAIDU Y. · 8개월 전에 리뷰됨

Quang B. · 8개월 전에 리뷰됨

Abhishek P. · 8개월 전에 리뷰됨

John Christian D. · 8개월 전에 리뷰됨

Ipsita M. · 8개월 전에 리뷰됨

Some of the steps to code the pipeline file were confusing, but I enjoyed the essence of this lab and the objective of it. I didn't get to finish this lab because the there was a step missing in the last task (using a DF template) which didn't mention to change the region.

Nicky Y. · 8개월 전에 리뷰됨

Some of the steps to code the pipeline file were confusing, but I enjoyed the essence of this lab and the objective of it. I didn't get to finish this lab because the there was a step missing in the last task (using a DF template) which didn't mention to change the region.

Nicky Y. · 8개월 전에 리뷰됨

Smooth

Barinder B. · 8개월 전에 리뷰됨

Jakub N. · 8개월 전에 리뷰됨

It's a good lab. Just some minor inconveniences. Of all hands on work, creating a schema isn't the most interesting of tasks In part 2, might be worth mentioning the entry fields for the JS file and function are under 'Optional Parameters' Saying the Java template code looks familiar to what we coded in python is a bit of a stretch.

Sam B. · 8개월 전에 리뷰됨

Mateusz S. · 8개월 전에 리뷰됨

Brian I. · 8개월 전에 리뷰됨