AS
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Excellent course; Highly informative & insightful for someone new to Data Engineering!
Kudos to the entire team! Demos by Evans are fun to watch!
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Great!!! Key to understand how to take advantage of the resources offered by the Google cloud to a modern way to build and process your data.
By Antony C
•May 6, 2020
Great
By J J
•Apr 24, 2020
good!
By Giovanni D P
•Apr 11, 2020
ok ok
By Johnnie N
•Sep 26, 2023
good
By Jitendra P S
•Jun 25, 2023
Good
By Gerardo F V
•Nov 23, 2020
good
By PALLAVI M
•Nov 4, 2020
good
By Sangwoo K
•Oct 2, 2020
good
By Gadamsetti V V N
•Jul 10, 2020
good
By Ratan K
•Jul 9, 2020
good
By Richa G
•May 3, 2020
good
By Hilmi A
•Jan 25, 2020
qwe
By Wendy M
•Sep 10, 2022
The subject was fascinating. Some parts of the course materials seemed sloppy or rushed. Some videos would have been better if split into smaller chunks. It would be worthwhile to give the transcripts thorough review and editing since the ability to highlight notes that one can click to go right to the spot in the video is sooo handy. Overall, I think the presenters did communicate the bulk of what they intended. The excellent parts, and there were many, made me wish that the same level of care and polish had been applied to every part. Because it really was very enjoyable material. (Quick note: at the end when you view your certificate it lists the things you have learned and one of them is TensorFlow; that should be removed from the list.)
By Krystian O
•Sep 3, 2020
Very condensed course. A lot of stuff to go through which is great but links to code, refereed documentation etc would be very helpful, especially when only mentioned in a video and not shown. At some points its possible to pause the video to note down where reference material can be found.
By Sean D
•Jul 12, 2021
Good course. To make Great: 1) get some Intern (or better AI) to correct text, punctuation, etc., displayed below recordings. 2) allow video to be on separate screen, from text (without having to download text files). It would be nice to view video/graphics, while following the text.
By Xavier A A
•Apr 29, 2020
Evan & Lak's lectures are very good, it went so seamless, but listening to Julie's lectures is hard work, she is rapid, I needed subtitles to comprehend the speech. Other opinions might be different, but; these are genuine ones from me, please note that there is no bias in my mind.
By Pola, R (
•Apr 20, 2021
Provides a broad over view of GCP tools to build data pipelines, tools to build data lake and data warehouse and reference architecture to use. It helped me understand the GCP platform better and provided hands-on exercises which are very helpful.
By Shadab B
•Aug 10, 2021
Excellent course for beginner as I was not aware of the Data Lake and Warehouse concepts.Apart from that the course really explained in an efficient manner the concepts of Nesting , Partioning and clustering for Big Data.
By VishalP
•May 7, 2020
Really Interesting. If possible add one migration example from existing data warehouse for one small subject area to BigQuery . It would give more comparable insight on power, design approach on BigQuery
By Arpnik S
•Feb 4, 2023
the topics covered are in detail with some hands on lab but it has a very easy level exercises. It would have been more fun if their were more tough questions in quiz and hands on lab
By Alphanso W
•Apr 16, 2020
Good course but perhaps to make things stick, we would have used one project and built upon it. I felt like I was being tossed all over the place in terms of subjects and topics.
By Walter H
•Jan 14, 2022
bit simple for experienced db users, but the 2nd week does a very useful deep dive into advanced GBQ features like how to properly handle nested fields.
By Tony G
•Feb 5, 2020
Course material spends a little too much time promoting the benefits of GCP when it could be focusing on the technical aspects of using GCP
By Polla T
•Jan 30, 2020
The labs were awesome! The trainers in the video and in the demo were well prepared. The quizes however were short and not well thoughtful.
By EDMILSON C D C
•May 1, 2020
Bom curso para ter uma visão inicial sobre Data Lakes e Data Warehouses. Poderia ter um pouco mais de Labs para masterizar melhor o tema.