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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

4.6
stars
2,011개의 평가
159개의 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 158개 리뷰 중 1~25

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: Marcelo H G

Mar 10, 2019

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

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: 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: 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!

교육 기관: Carlos G

Jul 09, 2017

Enhorabuena por facilitar formación de esta manera. El curso está perfectamente estructurado y los contenidos (tanto videos como labs) funcionan perfectamente y son totalmente didacticos. Se agradecería en castellano pero , incluso en Inglés, se entiende perfectamente.

교육 기관: Dylan H

May 17, 2019

This course did a great job in pulling it all together. It had more interesting labs for that reason as well. It would be great to get a code summary of the pieces that are really helpful when setting up a pipeline... sort of like a cheatsheet

교육 기관: Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

교육 기관: Michael S P P

Aug 08, 2018

Estos cursos permiten incursionar en la plataforma Google Cloud, es básico y hace falta pasar más tiempo con la plataforma y crear un proyecto grande, pero para empezar está bastante bien.

교육 기관: Parag G

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.

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: Chockalingam K C

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.

교육 기관: Shrikant L K

Jun 03, 2019

Excellent GCP platform and superb training course, Lak conducted it with lots of interest. Lab sessions are really good. Looking forward to takeup the certification soon

교육 기관: Abilio R D

Jan 03, 2020

This was excellent course, covering in detail how to build a resilient data stream pipeline in GCP. The materials, resources, videos, and Labs were great. Thank you!

교육 기관: Christian B

Aug 13, 2017

Some of the videos were too short, this interrupted the continuity of the course. Other than that very enjoyable thank you for putting this together.

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: Onur U

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.

교육 기관: Shubhachandra

Apr 05, 2018

I have learnt good , I look forward to learning more. Thank you for being a remarkable Instructor Lak and I am very grateful for this course.

교육 기관: DOLA K S

May 19, 2019

Ce cours est très bien fait, et conduit l’étudiant à atteindre peu a peu la maîtrise du contenu a travers des exemples concrets et pratique

교육 기관: JOSÉ R F J

Sep 12, 2019

cd ~/training-data-analyst/courses/streaming/process/sandiego ./run_oncloud.sh $DEVSHELL_PROJECT_ID $BUCKET CurrentConditions --bigtable

교육 기관: harada h

Sep 26, 2018

This has been a great course. All the theory and practical content I find useful to get me started in the field of machine learning

교육 기관: david m

Oct 19, 2017

Great course, and an excellent topic in the Big Data Engineering on GCP. Would recommend this to anyone interested in this area.

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: Robin A

Nov 20, 2019

It's a fantastic Course to take and learn about how can we process the streaming data in GCP and create Dashboards/Reports

교육 기관: Godefroy C

Nov 11, 2019

Very interesting course to start understanding streaming in general and on GCP. It's just an intro but it's a good one!