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Building Resilient Streaming Systems on Google Cloud Platform(으)로 돌아가기

Google 클라우드의 Building Resilient Streaming Systems on Google Cloud Platform 학습자 리뷰 및 피드백

1,915개의 평가
152개의 리뷰

강좌 소개

This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to build streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable real-time decision making. You will also learn how to build dashboards to render tailored output for various stakeholder audience. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals (or equivalent experience) • Some knowledge of Java Objectives: • Understand use-cases for real-time streaming analytics • Use Google Cloud PubSub asynchronous messaging service to manage data events • Write streaming pipelines and run transformations where necessary • Get familiar with both sides of a streaming pipeline: production and consumption • Interoperate Dataflow, BigQuery and Cloud Pub/Sub for real-time streaming and analysis...

최상위 리뷰


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.


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.

필터링 기준:

Building Resilient Streaming Systems on Google Cloud Platform의 149개 리뷰 중 1~25

교육 기관: Javier R

Jan 16, 2019

Very useful.

교육 기관: William M

Jan 31, 2019

I recommend this course to learn the fundamentals of Building Resilient Streaming Systems on Google Cloud Platform

교육 기관: Raja R G

Dec 29, 2018

Very Good content...

교육 기관: Preetish K D

Jan 09, 2019

All concept explained nicely.

교육 기관: Mnason A P

Feb 16, 2019


교육 기관: Christof G v R

Feb 16, 2019

Though the subject was the most obscure and least relevant to me of all 5 courses in the specialization, I think I learned the most during this one.

교육 기관: Alejandro J A

Feb 27, 2019

Un curso maravilloso.

교육 기관: Chandrasekar B

Feb 27, 2019


교육 기관: Brian C G

Mar 04, 2019

Excellent course! Great exercises and a solid background on how to build resilient streaming systems with GCP

교육 기관: Julian K

Mar 06, 2019

This was a pleasure to attend. Some minor frustrations when tests failed or just stopped, but support was excellent and by revisiting your site 2 stopped tests resulted in a pass! Note that some of the current web pages have changed since the course was created - so the tests are more real-world as you have to figure stuff out yourself - not such a bad thing!

교육 기관: Vicente G d S

Mar 19, 2019

Excelent way of learning Pub Sub.

교육 기관: Mohammed A M F S

Mar 27, 2019

Thanks Lak and the team for detailed information. The way of teaching is best which will clears the doubts of the everyone.

교육 기관: Morgan G

Mar 24, 2019

I understand how bigtable works and how to design a good table. That is the biggest take for me!

교육 기관: Sudeshna D

Dec 20, 2018


교육 기관: Peter S

Dec 20, 2018

Very interesting!!

교육 기관: Agha A A

Mar 31, 2019

Thorough and challenging.

교육 기관: Jumpod P

Apr 01, 2019

Very goods course

교육 기관: Peeya I

Apr 06, 2019

Great course to combined and test the knowledge from other modules.

교육 기관: Adam E

Feb 06, 2019


교육 기관: Amit K

Dec 28, 2018


교육 기관: Michael F

Jul 14, 2017

loved it

교육 기관: Manuel P Z

May 21, 2018

Good introduction to gcp workflow (pub/sub, dataflow, bigquery, bigtabale and data studio). This course gives you the tool to start the long journey in the data engineer path.

교육 기관: Roque R

Jan 08, 2018


교육 기관: Sterlaydy

May 06, 2018

Very good way to explain about streaming, made it simple.

교육 기관: Moses O M

Nov 10, 2017

The course breaks down the steps of building streaming data pipelines with very clear examples. I had to do some editing in some part of the code because the PubSub Libraries have been updated and the backward compatibility broken from the code used in the course.

Overall, thank you Lak!