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

Oleksandr G. · Reviewed over 1 year ago

Rahul B. · Reviewed over 1 year ago

Arun S. · Reviewed over 1 year ago

zephyr z. · Reviewed over 1 year ago

Pasindu Sewmuthu A. · Reviewed over 1 year ago

Priyansh M. · Reviewed over 1 year ago

Jatin S. · Reviewed over 1 year ago

Franklin C. · Reviewed over 1 year ago

Febri A. · Reviewed over 1 year ago

Md F. · Reviewed over 1 year ago

Lucky W. · Reviewed over 1 year ago

Abhay M. · Reviewed over 1 year ago

Gustavo Kazuiti M. · Reviewed over 1 year ago

lohau l. · Reviewed over 1 year ago

achmad a. · Reviewed over 1 year ago

achmad a. · Reviewed over 1 year ago

Chew (. · Reviewed over 1 year ago

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. · Reviewed over 1 year ago

HS R. · Reviewed over 1 year ago

Sameer K. · Reviewed over 1 year ago

Jose David L. · Reviewed over 1 year ago

Nishita K. · Reviewed over 1 year ago

Sumit S. · Reviewed over 1 year ago

the a. · Reviewed over 1 year ago

Good.

Spidy G. · Reviewed over 1 year ago