Avis et commentaires pour d'étudiants pour Building Resilient Streaming Analytics Systems on Google Cloud par Google Cloud
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Meilleurs avis
MP
20 mai 2020
Great course on understanding how to build streaming pipelines to ingest data into datalakes and datawarehouses , as well as techniques and technologies that support data querying optimization
FM
28 avr. 2020
Excellent, googles team explains things in a straightforward and hands-on manner that gets you ready to start integrating BigQuery, BigTable, DataFusion, and Data Studio in a matter of hours.
76 - 100 sur 126 Avis pour Building Resilient Streaming Analytics Systems on Google Cloud
par Shweta M (
•26 déc. 2020
BEST
par Gerardo F V
•23 nov. 2020
good
par Chan P
•17 avr. 2020
Cool
par Atichat P
•9 janv. 2020
Good
par Suvojeet P
•21 juin 2020
b
par Mayur G
•28 avr. 2020
Course mainly traverse along the implementation of processes rather than teaching the depths and explaining the code used in processes. It provides a good practical knowledge and basic know-how of GCP. 4 stars just because I faced minor problems in using other resources apart from the ones referred in labs, but I appreciate the fact that they are providing these resources free for learning purpose.
par Sunil M
•7 avr. 2020
Overall loved it as I had no prior experience on how to work with streaming data and some of the no-sql big databases. The course was well structured, very well explained and it was great to hear some hands-on experts explaining the topics. I am hoping to use this lecture materials multiple times as there is much more to learn. I have given 4 stars because some the labs were in not python :-(
par Surendra P
•19 mai 2020
Raiyaan Serang and Evan Jones were great in explaining the concepts. I found Nitin Agarwal not so good. Nitin seems to break sentences improperly changing the meaning. Nitin might need more work or practice before he can continue with further instructional vidoes.
par Palash M
•21 mai 2020
Some video tutorials were difficult to follow and at times distracting due to the accent of the tutor (Nitin Aggarwal) not having a natural flow. Maybe a personal feedback not shared by others, but this course was not as smooth as others due to above reason.
par Gaurav S
•27 mai 2020
This one really helps!!! However, I would appreciate if dataflow job such as averagespeed was written in python. No worries I will write one myself!! Thanks a lot for everything!!!
par ian H
•28 avr. 2020
Overall, I thought this course was valuable. I am not aware of how to deal with streaming systems and considerations when leveraging these systems in applicaitons.
par Aina R
•17 mai 2020
Good course, with a lot of explanation on theory and applications. I would have just liked to have more explanation on some built-in code in Java
par Piero E E
•6 sept. 2020
The course was very good, although I was a bit frustrated with the labs tool. They were buggy and more than one I had to restart them to fix it.
par Eugene M
•21 juil. 2020
Sometimes the presenter in week two spoke unclear. Further it was a great course
par Ismi Y
•15 mai 2020
Great course. However, the course name does not represent the entire content.
par Satya M
•12 févr. 2020
Course could be improved with more details on streaming especially on BEAM.
par Triveni C
•21 juin 2020
More examples on dataflow streaming scenarios would have helped much more
par Yokesh N
•19 juin 2020
learnt the concepts around the streaming data processing very efficiently
par Aniruddha S
•24 mai 2020
More detailed explanations on the used code segments are expected.
par Gustavo S L
•22 juin 2020
Very useful course, but we need more labs for exersice
par Abhishek t
•23 mai 2020
increased my knowledge a lot about stream processing
par Jose J S R
•12 déc. 2020
I miss more detail about DataFlow and BigTable
par Frayosh W
•21 nov. 2020
Amazing precise and exactly what I needed.
par Moritz R
•5 mars 2021
The pratice labs are too much copy&paste.
par Carlos A J M
•17 août 2020
Very fast definitions and little practice
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