Building Resilient Streaming Systems on Google Cloud Platform, Google Cloud
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Principales revisiones
por PG
•Aug 25, 2018
This course was very helpful to understand how to built high throughput streaming work flows on google cloud. It described in detail how to model big table for efficient application.
por CC
•Aug 19, 2017
Course gives nice overview of Bigtable, when to use it compared to bigquery. flowchart describing the when to use which product is really helpful. Thanks Lak for the course.
63 revisiones
por Rasmus Buchmann
•Dec 18, 2018
Very helpful overall
por Anjan Singha
•Dec 06, 2018
fantastic course material. Thank Lak and team.
after going through course I am now excited to work on real time issues. But yes this much is not enough, I have to learn a lot.
por Onur ULUAĞ
•Nov 26, 2018
Streaming pull on Pub/Sub can also be added.
How to get publish time and message id those are added on Pub/Sub on Dataflow can also be mentioned.
por Mikhail Masailo
•Nov 21, 2018
Very Nice!
por Flavio de Rezende
•Nov 20, 2018
Good overview of streaming architecture, coupled with realistic use cases in the labs.
por Kushal Joshi
•Nov 11, 2018
Qwiklabs lack of clarity in lab instructions spoiled the experience.
por Alberto Carlos Vicente
•Oct 26, 2018
N/A
por Zoran Budzakoski
•Oct 24, 2018
Lak is awesome!
por Girish Ogirala
•Oct 19, 2018
Thank you Lak for a wonderful journey through GCP, ML and Big Data
por Sirisha Pasumarthy
•Oct 18, 2018
Interesting when doing with live examples,how it connects to streaming data quickly and give results. A more way to learn
