Interesting topics, but some of the labs are a waste of time (1 minute of hands-on experience, 30 minutes of provisioning resources and pipeline execution).

Good, I think pipelines need to have more labs related to some necessities in the industry, such as connect them to other external sources outside GCP

Some parts of the course where not explained in full detail, especially some qwuick labs where questions were not tested or even provided with answers

very good as a start, needs more practical on some topics like the last ones, and I had a bug with composer lab, but the over all is fine.

This course includes new services not much mentioned in the previous course. But, proportion of the module is not balanced.

Good introduction to pipelines building in GCP, Starting labs need to be in more detail. Other than that very good course.

Most was very good and kept my interest. One of the latter labs was not working and kept erroring out.

Adding more Hands on Lab sessions will make the learning experience even more worthy

Good intro to the pipelines for batch processing and quite a few hands on labs.

in depth and time demanding but well worth it and really well structured

I missed more hands-on experience with dataflow data pipelines creation.

This course requires knowledge of Java, Python and technology in general

Buen curso para seguir avanzando en el conocimiento de Big Data / GCP

Conceptual understanding of data fusion, data flow and data proc.

The videos ware great, however te labs have a lack of information

better labs would be nice. more detailed, not so many copy paste.

The dataflow part was not well explained, especially the labs.

The course is very useful, but sometimes the labs were strong.

A very good course to understand GCP services.

Decent intro to data pipelines in GCP

Covered lot of topics and services!

it's important to rerun this cours

a lab was down several weeks

Good overview of the topic.

Very Good!