Chevron Left
Back to Building Batch Data Pipelines on Google Cloud

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

4.5
stars
1,574 ratings

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 for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs....

Top reviews

UB

May 27, 2020

A great course to help understand the various wonderful options Google Cloud has to offer to move on-premise Hadoop workload to Google Cloud Platform to leverage scalability of clusters.

AD

Jul 16, 2020

Great course learning what it is the big advantages of using GCP for data given they have big implementations and with better performance of what it is today in on premises scenarios

Filter by:

51 - 75 of 197 Reviews for Building Batch Data Pipelines on Google Cloud

By Cheikh B

May 10, 2020

By M. H S

Apr 10, 2020

By Punchok K

May 15, 2020

By Arnab K S

Jun 30, 2020

By Loc N

Nov 9, 2020

By Antony J

Oct 28, 2020

By Way o l

May 16, 2020

By Gopal K

Aug 20, 2022

By Tyson P

Nov 27, 2021

By Ajjay

May 13, 2020

By Gowthaman S

Apr 27, 2020

By MD. R P

Oct 16, 2020

By EDMILSON C D C

May 2, 2020

By Leonardo M

Jun 17, 2022

By Fernando R G S

May 12, 2020

By Nghi N

Mar 24, 2020

By yash v

Oct 25, 2020

By Rao N

Apr 15, 2020

By Adrian D P

Aug 4, 2020

By Alexandre N

Jun 27, 2021

By Premananth S

Aug 6, 2020

By Gonzalo O

Mar 20, 2020

By Sagar M

Oct 13, 2021

By Armando Y

Aug 27, 2020

By Muizz K

May 27, 2020