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

4.5
stars
1,678 ratings

About the Course

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

Top reviews

SV

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Excellent course with appropriate explanation on cloud data fusion, data composer, data proc and cloud data-flow. Must learn course for all aspiring Big Data Engineers.

XZ

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Good contents. Some lab questions do not have answers. Hope provide them to know how I understand the knowledge.

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201 - 208 of 208 Reviews for Building Batch Data Pipelines on Google Cloud

By Vinod K

May 10, 2020

The labs had many errors. I spent most of the time solving errors and getting help from support team.

By Ted C

Jan 31, 2021

creating cloud composer environment took too long for about 45 minutes

By Ivan L

May 20, 2021

Least favourite one so far from the course series

By Johnny L

Jun 20, 2020

Poorly designed course

By Michael E

Sep 17, 2020

I didn't feel that I learned very much. I also ran into a lot of trouble with the labs. The Cloud Shell Editor was giving me issues. Fortunately, the support team was able to find a loop hole for getting around the error.

By Mohamed D

Nov 6, 2020

Putain metter le lien pour acceder Qwiklabs

By Lawrence R

May 30, 2020

Most labs are not working

By Emel G

Apr 27, 2020

Not engaging