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Learner Reviews & Feedback for Modernizing Data Lakes and Data Warehouses with Google Cloud by Google Cloud

4.7
stars
2,768 ratings

About the Course

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course....

Top reviews

AA

Feb 14, 2020

Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.

LG

Apr 25, 2022

This is an excellent course to understand about Data Lakes and Data Warehouses, and how to implement them with GCP. It takes you from zero to a level where you can move confidently in GCP.

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276 - 300 of 352 Reviews for Modernizing Data Lakes and Data Warehouses with Google Cloud

By Denys B

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Oct 6, 2020

Pretty good. I wish they dig a little deeper into streaming versus batch ingestion, and also talked about BigQuery BI.

By Rutt D

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Jul 24, 2020

There were few times when it was a bit confusing and took me some time to catch-up but overall it was a great course!!

By Namooro

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Jul 14, 2020

Not really much practice. A lot of In-depth details about Data Engineer job specifics and how it relates to GCP.

By Krishna B S

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May 9, 2020

This course lays the foundation of data engineering through the hands-on exercises on GCP services. Niceone!

By Vinita S

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Apr 2, 2020

Some of the labs were repetition from the first course, but one had to go thru it, to get completion status

By Brad K

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Aug 16, 2020

Great course. I would have liked a bit more exploration into CLI through the console and console commands.

By Alonso M G

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Mar 1, 2020

Muy bueno, creo que el se puede mejorar los laboratorios, aveces parecen no tener relación con el tema.

By Deepa R

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May 18, 2020

lab practice are good and expalination with example during lab practice are really well explained

By harish k

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Jan 15, 2020

Excellent presentation, demos and labs. The last lab needs to have a little more time allocated.

By Ivan v

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Apr 16, 2021

O professor que fazia as Demo era um pouco chato de ouvir e ele embolava na fala algumas vezes.

By Javier J L M

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Jul 12, 2020

Bueno, enseña mucho de bigquery. Me gustaría profundizar mas en el clustering y el partitioner

By Gaurav S

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May 12, 2020

Over All, It was really great!! I learned a lot of new concepts!!! Thanks, Coursera Team!!!

By Gaurav M

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Jun 3, 2020

It was good course with hands on, The only thing you could add on is case study at the end

By Jaroslav L

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Mar 4, 2024

A great course, I liked hand on labs. Please fix audio quality in some videos. Thank you!

By Yogesh D

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Apr 23, 2020

This course is a good intro to Data Lakes, DW concepts. Week 2 content is the best!!

By Nicolas B

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Jul 11, 2021

The video are clear, the labs are well though. But the exams don't make sense

By Marcos F

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Jun 14, 2020

Very good to understand how to structure data lakes and data warehouse on GCP.

By Hanna S

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Feb 1, 2022

Very good theoretical knowledge but the assignments are not too challenging.

By Abhishek t

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May 20, 2020

now i have a clear knowledge how data lakes and data warehouse managed in GCP

By Xinchao Z

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Oct 9, 2020

The last part in week 2: monitor and reservation is kind of not that clear.

By Guilherme L

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May 9, 2020

Gostaria que os labs disponibilizasse maior tempo e elevasse a dificuldade;

By Shaik H

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Jan 20, 2021

All the information provided was very insightful and thought provoking.

By Triveni C

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May 30, 2020

Demo/lab on transfer service is missing. Its very important service

By Yokesh N

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Jun 9, 2020

Very interesting features to know about data engineering concepts.

By Deleted A

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Apr 8, 2020

Deeper overview for Data Lakes and Data Warehousing concepts.