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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

4.7
1,922개의 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

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.

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.

필터링 기준:

Building Resilient Streaming Systems on Google Cloud Platform의 149개 리뷰 중 126~149

교육 기관: Subhrendu B

Jul 26, 2019

good

교육 기관: Aadil S

Jun 15, 2019

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

교육 기관: Narendra B O

Aug 25, 2019

.

교육 기관: Dmytro C

Aug 27, 2019

More quizzes would be nice

교육 기관: Don B

Nov 26, 2019

Instructor content is very strong, but they need to invest more effort in keeping the labs relevant and up to date. In some cases the mandatory Qwiklab labs do not work, and in these situations in particular they don't provide value in reinforcing what is presented in the lectures - and ultimately what you need to know to pass the GCP data engineer certification exam.

교육 기관: Prashant G

Oct 31, 2019

good content

교육 기관: RAJKUMAR

Oct 16, 2019

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

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.

교육 기관: Karn D

Nov 04, 2019

Good course overall. Would've liked more "do it yourself" activities, but otherwise - it was fine.

교육 기관: Kushal J

Nov 11, 2018

Qwiklabs lack of clarity in lab instructions spoiled the experience.

교육 기관: Zen W

Feb 26, 2019

Some source are old need updated

교육 기관: Bernardt D

May 24, 2018

Had some problems with opening multiple consoles and a '--description=...' param changed to something like '--display_name=...'

교육 기관: Peter M

Feb 12, 2018

It teaches the basics but I am not convinced this course prepares the student for the Data Engineering Google Certification. For example, in the practice exam there are questions on topics that are not covered in this course. For example, IAM, Dataprep, Transfer Appliance, Storage Transfer Service, Cloud Bigtable cbt tool, Snapshots and Encryption. Some of the questions in the practice exam imply the student has taken Google Cloud Architect certification to cover topics omitted from the Data Engineer course given here. This anomaly should be addressed.

교육 기관: Shaw L

May 13, 2019

Some content are unnecessarily repeated and out of order.

교육 기관: durgaprasad

Oct 02, 2019

I have gained some good amount knowledge on GCP with respect to Machine learning and stream data processing.

교육 기관: Marcelo H G

Mar 10, 2019

Too much of things we easily forget. Lack of exercises to fix in memory important steps.

교육 기관: Gianmarco D

Jun 26, 2018

Very basic, no significant hands on. Quiz are trivial, labs are a series of "next" buttons...

교육 기관: Ciprian D

Feb 02, 2019

This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.

교육 기관: Henry B

Sep 17, 2018

3 out of the four QwikLabs on this course do not work. There is a bug in the script provided by QwikLabs. It is very hard to learn using these materials

교육 기관: Aaron C

Sep 23, 2018

Generally, badly designed. I have written enough comments already. Will look at finding other methods to learn the material better so I can feel confident that I understand it well enough to pass the exam.

교육 기관: Anselme B

Oct 04, 2018

I DON'T HAVE ACCESS TO ALL THE FUCKING VIDEOS DO SOMETHING PLS

교육 기관: Michał J

Aug 28, 2018

To be honest this whole specialization is a scam. There is promise of preparing to Data Engineer Cert, but the course just skims most of the topics, missing a lot others entirely. Please, at least have decency not to advertise it like this and remove it from official google certification page.

교육 기관: Deleted A

Jul 31, 2019

Content are hard to understand. English accent are hard to understand too.

교육 기관: Preety K

Nov 13, 2019

Looked like course was completed in hurry, many questions were unanswered in the lab demo. Lab demo was not guided properly. They should consider, might be someone who knows nothing... like me.