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

4.5
stars
1,667 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

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

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151 - 175 of 206 Reviews for Building Batch Data Pipelines on Google Cloud

By Ismi Y

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May 14, 2020

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

By Ajinkya S S

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Apr 19, 2020

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

By Charles C

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Jun 22, 2020

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

By gaurav s

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Nov 21, 2022

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

By Ramakrishna R A

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May 4, 2020

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

By Brook G

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Nov 11, 2021

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

By Victor L P B

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Jun 2, 2021

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

By Eduardo H

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Oct 6, 2020

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

By Carlos M F

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Nov 17, 2020

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

By Min M Z

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Jul 5, 2020

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

By Guilherme L

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May 30, 2020

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

By Friscian V C

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Apr 26, 2020

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

By Ishwar C

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May 6, 2020

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

By Etienne M

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Apr 3, 2020

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

By Hemant D

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Oct 31, 2022

A very good course to understand GCP services.

By RK

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Feb 2, 2020

Decent intro to data pipelines in GCP

By Akshay T

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Mar 8, 2021

Covered lot of topics and services!

By Youcef B

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May 10, 2020

it's important to rerun this cours

By David O

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Feb 23, 2021

Good overview of the topic.

By Francisco M

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Oct 12, 2020

Very Good!

By Ravikumar B

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Oct 4, 2023

good

By dumebi j

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Nov 23, 2021

good

By Abhishek D

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Jun 28, 2020

Good

By SAJID M W

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Jan 14, 2020

good

By Jon C

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Oct 1, 2020

Enjoyed the course and the instructors. There is a lot of ground to cover for two weeks worth of content. Some minor improvements: 1. A number of the videos mention linking to content (template github as an example), but then failed to include a link in the resources section. 2. The labs are more of a code review than practice in creating actual pipelines, and ask questions without providing an answer. It may prove helpful for learners to have an opportunity to develop elements of the lab code as well as having answers to the review questions so that the lab user knows whether or not their answer to the questions posed were in fact correct.