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返回到 Building Resilient Streaming Systems on Google Cloud Platform

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

1,934 个评分
152 个审阅


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...



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.


1 - Building Resilient Streaming Systems on Google Cloud Platform 的 25 个评论(共 149 个)

创建者 Javier R

Jan 16, 2019

Very useful.

创建者 Raja R G

Dec 29, 2018

Very Good content...

创建者 Preetish K D

Jan 09, 2019

All concept explained nicely.

创建者 Mnason A P

Feb 16, 2019


创建者 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.

创建者 Alejandro J A

Feb 27, 2019

Un curso maravilloso.

创建者 Chandrasekar B

Feb 27, 2019


创建者 Brian C G

Mar 04, 2019

Excellent course! Great exercises and a solid background on how to build resilient streaming systems with GCP

创建者 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!

创建者 Vicente G d S

Mar 19, 2019

Excelent way of learning Pub Sub.

创建者 Morgan G

Mar 24, 2019

I understand how bigtable works and how to design a good table. That is the biggest take for me!

创建者 Peter S

Dec 20, 2018

Very interesting!!

创建者 Agha A A

Mar 31, 2019

Thorough and challenging.

创建者 Jumpod P

Apr 01, 2019

Very goods course

创建者 Peeya I

Apr 06, 2019

Great course to combined and test the knowledge from other modules.

创建者 Adam E

Feb 06, 2019


创建者 Amit K

Dec 28, 2018


创建者 Michael F

Jul 14, 2017

loved it

创建者 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.

创建者 Roque R

Jan 08, 2018


创建者 Sterlaydy

May 06, 2018

Very good way to explain about streaming, made it simple.

创建者 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!

创建者 Bing A

Jul 08, 2018

Learned a lot from this course! Great job!

创建者 Nguyen D P

May 07, 2018

The great course.

创建者 Serhii Y

Jun 14, 2018

Very useful and interesting. Promising from tech standpoint. Lack of Python code version in some labs.