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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
1,790개의 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

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 137개 리뷰 중 126~137

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: Kushal J

Nov 11, 2018

Qwiklabs lack of clarity in lab instructions spoiled the experience.

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: 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: Anselme B

Oct 04, 2018

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

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: 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: Deleted A

Jul 31, 2019

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