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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

1,790개의 평가
137개의 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 137개 리뷰 중 101~125


Aug 05, 2018


교육 기관: Bruno M

May 03, 2018

Very nice content and the teacher is amazing, legendary but code labs have problem with source code and should be updated and quiz are very dumb, because this 4 stars is fine and fare.

교육 기관: Nick D

Aug 11, 2017

Good content, narrative, videos, and labs. Quiz questions are perhaps a little easier than expected.

교육 기관: Rajesh D

Jun 21, 2018

Some labs pertaining to ingesting traffic data kept on throwing errors, which I couldn't resolve. That though spoiled whole of my experience, the course is very well built, informative and was the most interesting among the other 4 I have taken through the specialization

교육 기관: Serge B

Oct 31, 2017

Good course and labs. I wish the code sample didn't keep switching between Python and Java, it can be confusing.

교육 기관: Paul H

Mar 27, 2018

Good, but fairly basic.

교육 기관: Scott M

Oct 11, 2017

Content was pretty good but some of the labs definitely require improvements. Hopefully they will implement a similar system to what they have under the Cloud Architecture set of courses and integrate Qwiklabs.

교육 기관: Miguel R

Jan 03, 2018


교육 기관: David R

Feb 26, 2018

Great class. Topic and information felt comprehensive and well though through. It felt like there was a bit of disorganization in the middle of the class when a lab was described in the lectures - accident alerts, and then a different lab was presented in the formal codelabs documentation - datastudio. Sadly the accident alert lab was never discussed again, though the code is there for experimentation. Not a big deal.

Overall the program was well designed and I felt like I got a lot of very useful highly applicable information from it. Among other things, this certainly makes a strong case for Google Cloud as a highly developer friendly cloud offering.

교육 기관: William E D

Jan 24, 2018

Super valuable content, but the labs are not ageing very well. I certainly got to know the content a little better by perform ad-hoc fixes on content.

교육 기관: Yuriy K

Jun 17, 2018

2 last labs are broken - scripts fail, suggested fixes don't work. I simply don't have time to debug this stuff.

교육 기관: Alvaro R F

May 05, 2019


교육 기관: Ashwin S

May 28, 2019


교육 기관: Subhrendu B

Jul 26, 2019


교육 기관: Ajay K

Jun 03, 2019

Very well taught course. The material is well organised. All instructors are extremely patient. I enjoyed the course. I do wish the labs focus a little more on coding exercises. Some concepts are a little difficult to remember

교육 기관: Narendra B O

Aug 25, 2019


교육 기관: Dmytro C

Aug 27, 2019

More quizzes would be nice

교육 기관: Xiao Y

Jul 02, 2019

Would have given a 5 star rating. Only reason: should have provided some Python examples for the resilient streaming related applications and corresponding labs. Java was good, but its a bit outdated....

교육 기관: José G M

Jul 08, 2019

Creo que hacen falta ejercicios de programación en la plataforma de google desarrollados por el alumno.

교육 기관: Gwen A

Jun 10, 2019

It is a great course and it makes me appreciate the whole architecture. One thing that can be improve is if the programming languages remained consistent in the course if possible.

교육 기관: Aadil S

Jun 15, 2019

Good Course to get a starting point on dealing with streaming data on GCP

교육 기관: Faizan S

Oct 16, 2019

Good course that gives an introduction to GCP products used for stream processing. I would highly recommend following the documentation along the course.


Oct 16, 2019

Some of the samples are in Java which makes the lab not of much use.

교육 기관: Zen W

Feb 26, 2019

Some source are old need updated

교육 기관: Kushal J

Nov 11, 2018

Qwiklabs lack of clarity in lab instructions spoiled the experience.