AA
14 de fev de 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
25 de abr de 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.
por Muhammad Z H
•13 de jun de 2020
Thanks
por Rogelio E R C
•21 de abr de 2020
great!
por Rachmat H
•31 de ago de 2021
cools
por Jean C F
•14 de jun de 2021
Otimo
por Lyndon A
•15 de out de 2020
Great
por Julian D O H
•2 de ago de 2020
Nice!
por Saptarshi S
•15 de jun de 2020
Great
por Antony C
•6 de mai de 2020
Great
por J J
•24 de abr de 2020
good!
por Giovanni D P
•11 de abr de 2020
ok ok
por Gerardo F V
•23 de nov de 2020
good
por Pallavi M
•4 de nov de 2020
good
por Sangwoo K
•2 de out de 2020
good
por Gadamsetti V V N
•10 de jul de 2020
good
por Ratan K
•9 de jul de 2020
good
por Richa G
•3 de mai de 2020
good
por Hilmi A A
•25 de jan de 2020
qwe
por Wendy M
•10 de set de 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.)
por Krystian O
•3 de set de 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.
por Sean D
•12 de jul de 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.
por Xavier A A
•29 de abr de 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.
por Pola, R (
•20 de abr de 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.
por Shadab B
•10 de ago de 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.
por Vishal N P
•7 de mai de 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
por Arpnik S
•4 de fev de 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