Avis et commentaires pour d'étudiants pour Building Resilient Streaming Analytics Systems on GCP par Google Cloud
À propos du cours
Meilleurs avis
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
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 123 Avis pour Building Resilient Streaming Analytics Systems on GCP
par Atichat P
•Good
par Suvojeet P
•b
par Mayur G
•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
•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
•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
•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
•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
•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
•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
•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
•Sometimes the presenter in week two spoke unclear. Further it was a great course
par Ismi Y
•Great course. However, the course name does not represent the entire content.
par Satya M
•Course could be improved with more details on streaming especially on BEAM.
par Triveni C
•More examples on dataflow streaming scenarios would have helped much more
par Yokesh N
•learnt the concepts around the streaming data processing very efficiently
par Aniruddha S
•More detailed explanations on the used code segments are expected.
par Gustavo S L
•Very useful course, but we need more labs for exersice
par Abhishek t
•increased my knowledge a lot about stream processing
par Jose J S R
•I miss more detail about DataFlow and BigTable
par Frayosh W
•Amazing precise and exactly what I needed.
par Moritz R
•The pratice labs are too much copy&paste.
par Carlos A J M
•Very fast definitions and little practice
par mohamed a
•course need illustrate more use cases
par Max M
•Two labs were not explained clearly !
par Mannie Z
•I like the SQL section the best!
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