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Avis et commentaires pour d'étudiants pour Building Batch Data Pipelines on Google Cloud par Google Cloud

1,522 évaluations

À propos du cours

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....

Meilleurs avis


27 mai 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.


16 juil. 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

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101 - 125 sur 192 Avis pour Building Batch Data Pipelines on Google Cloud

par 김태규

13 sept. 2020


par Arghya N

21 juin 2020

great course

par Milos B

31 mai 2020

Great course

par Vishal M

21 août 2021

Good Course

par Naveen K B V

13 juin 2020


par Dheeraj A

11 mai 2020

A Good One!

par Ryan B

24 avr. 2021

Thank you!

par Diego S

12 juin 2020


par Fatima-zahra K

22 mars 2020


par Mirelys D

25 juin 2020


par Neftali M

25 mai 2020


par Ömer F B

24 janv. 2020

Great Job

par Trusha R S

5 mai 2020

good one

par Muhammad Z H

5 juin 2020


par Ganesh K

4 mai 2020


par Felipe A

19 juil. 2021


par Shweta M (

26 déc. 2020


par Gerardo F V

23 nov. 2020


par Priyanka C

14 juin 2020


par Cristhian R B

17 mai 2020


par CH V S

6 mai 2020


par Santanu R

27 avr. 2020


par Koushik C

3 août 2020


par Kowsik P

20 déc. 2020

The course covers the main stuff required to understand the lifecycle of batch processing along with hands-on labs. However, when we have complimentary services offered by GCP which is Data Flow on top of the Data fusion which serves a similar purpose so it's much necessary to explain the use cases holistically when to go for Data flow and Data fusion. Also this 3rd of 6 courses as part of DE certification, it has more code content explained.

par Jeremy G

21 déc. 2021

I thought this course was good but would have been better if it went a bit deeper into the infrastructure that the different Pipelines tools run on in GCP, particularly for Dataflow. I understand that Dataflow is serverless but a better explanation of what that means as jobs are running would have been helpful.