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

10907 recensioni

Nobuo E. · Recensione inserita 10 mesi fa

Adeepa N. · Recensione inserita 10 mesi fa

Nihar Ranjan S. · Recensione inserita 10 mesi fa

mindiya k. · Recensione inserita 10 mesi fa

Oleksandr G. · Recensione inserita 10 mesi fa

Rahul B. · Recensione inserita 10 mesi fa

Arun S. · Recensione inserita 10 mesi fa

zephyr z. · Recensione inserita 10 mesi fa

Pasindu Sewmuthu A. · Recensione inserita 10 mesi fa

Priyansh M. · Recensione inserita 10 mesi fa

Jatin S. · Recensione inserita 10 mesi fa

Franklin C. · Recensione inserita 10 mesi fa

Febri A. · Recensione inserita 10 mesi fa

Md F. · Recensione inserita 10 mesi fa

Lucky W. · Recensione inserita 10 mesi fa

Abhay M. · Recensione inserita 10 mesi fa

Gustavo Kazuiti M. · Recensione inserita 10 mesi fa

lohau l. · Recensione inserita 10 mesi fa

achmad a. · Recensione inserita 10 mesi fa

achmad a. · Recensione inserita 10 mesi fa

Chew (. · Recensione inserita 10 mesi fa

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. · Recensione inserita 10 mesi fa

HS R. · Recensione inserita 10 mesi fa

Sameer K. · Recensione inserita 10 mesi fa

Jose David L. · Recensione inserita 10 mesi fa

Non garantiamo che le recensioni pubblicate provengano da consumatori che hanno acquistato o utilizzato i prodotti. Le recensioni non sono verificate da Google.