关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

Rishabh S. · 已于 10 months前审核

Nobuo E. · 已于 10 months前审核

Adeepa N. · 已于 10 months前审核

Nihar Ranjan S. · 已于 10 months前审核

mindiya k. · 已于 10 months前审核

Oleksandr G. · 已于 10 months前审核

Rahul B. · 已于 10 months前审核

Arun S. · 已于 10 months前审核

zephyr z. · 已于 10 months前审核

Pasindu Sewmuthu A. · 已于 10 months前审核

Priyansh M. · 已于 10 months前审核

Jatin S. · 已于 10 months前审核

Franklin C. · 已于 10 months前审核

Febri A. · 已于 10 months前审核

Md F. · 已于 10 months前审核

Lucky W. · 已于 10 months前审核

Abhay M. · 已于 10 months前审核

Gustavo Kazuiti M. · 已于 10 months前审核

lohau l. · 已于 10 months前审核

achmad a. · 已于 10 months前审核

achmad a. · 已于 10 months前审核

Chew (. · 已于 10 months前审核

It seemed like there was some really good stuff in here, but the coding steps were a bit arbitrary/loosely connected. Maybe having a section somewhere that showed the data or the transform visually as well as what was expected to be written would have been nice. This was probably the first lab that made me really think about a Beam pipeline, but the contrast between filling code in and the drop-off to the Python code was large enough that I "felt" like I was doing something wrong. Maybe even marking the sections in the code as "Task 1 Goes Here" would have helped. This could be combined with a "What order does the pipeline definition, options, run, and then stages within run go" type of question to be very effective (for me).

Kyle S. · 已于 10 months前审核

HS R. · 已于 10 months前审核

Sameer K. · 已于 10 months前审核