Chevron Left
Back to Building Batch Data Pipelines on GCP

Learner Reviews & Feedback for Building Batch Data Pipelines on GCP by Google Cloud

64 ratings
9 reviews

About the Course

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs....
Filter by:

1 - 9 of 9 Reviews for Building Batch Data Pipelines on GCP

By Roger S

Jan 24, 2020

Google did not work very hard to convey this information in its lectures. They are just bullet slides with a talking head. They need to learn how better course developers are creating courses.

By Ritesh K

Jan 31, 2020

Good Foundation

By Ömer F B

Jan 24, 2020

Great Job

By Tamás-Marosi P

Feb 02, 2020

There were some minor problem and mistake in the lab file. The python/java scripts were not explained at all. There are questions about the code itself, but then the questions were not answered.

By Scott P

Feb 07, 2020

There were too many labs with services that take 30-40 minutes just to spin up. I wouldn't have a problem with all the labs if the services took 2-5 minutes to spin up.

By RLee

Feb 12, 2020

More teaching should be focused on how to build the python file of each task, rather than ready for us to run.


Feb 03, 2020

Decent intro to data pipelines in GCP


Jan 14, 2020


By Kota M

Feb 01, 2020

It is helpful as a first step, but it does not make learners who can develop architecture on the google cloud.