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学生对 Google 云端平台 提供的 Building Resilient Streaming Systems on Google Cloud Platform 的评价和反馈

4.7
1,726 个评分
130 个审阅

课程概述

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...

热门审阅

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.

筛选依据:

101 - Building Resilient Streaming Systems on Google Cloud Platform 的 125 个评论(共 128 个)

创建者 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.

创建者 Miguel R

Jan 03, 2018

.

创建者 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.

创建者 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.

创建者 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.

创建者 Alvaro R F

May 05, 2019

Cool

创建者 Ashwin S

May 28, 2019

good

创建者 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.

创建者 Aadil S

Jun 15, 2019

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

创建者 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

创建者 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....

创建者 José G M

Jul 08, 2019

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

创建者 Subhrendu B

Jul 26, 2019

good

创建者 Narendra B O

Aug 25, 2019

.

创建者 Dmytro C

Aug 27, 2019

More quizzes would be nice

创建者 Zen W

Feb 26, 2019

Some source are old need updated

创建者 Kushal J

Nov 11, 2018

Qwiklabs lack of clarity in lab instructions spoiled the experience.

创建者 Bernardt D

May 24, 2018

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

创建者 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.

创建者 Shaw L

May 13, 2019

Some content are unnecessarily repeated and out of order.

创建者 Marcelo H G

Mar 10, 2019

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

创建者 Gianmarco D

Jun 26, 2018

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

创建者 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.

创建者 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.

创建者 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.